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overflow: hidden; text-overflow: ellipsis; -webkit-line-clamp: 3; -webkit-box-orient: vertical; }</style><div class="col-xs-12 clearfix"><div class="u-floatLeft"><h1 class="PageHeader-title u-m0x u-fs30">Semantic relations</h1><div class="u-tcGrayDark">1,086 Followers</div><div class="u-tcGrayDark u-mt2x">Recent papers in <b>Semantic relations</b></div></div></div></div></div></div><div class="TabbedNavigation"><div class="container"><div class="row"><div class="col-xs-12 clearfix"><ul class="nav u-m0x u-p0x list-inline u-displayFlex"><li class="active"><a href="https://www.academia.edu/Documents/in/Semantic_relations">Top Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Semantic_relations/MostCited">Most Cited Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Semantic_relations/MostDownloaded">Most Downloaded Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Semantic_relations/MostRecent">Newest Papers</a></li><li><a class="" href="https://www.academia.edu/People/Semantic_relations">People</a></li></ul></div><style type="text/css">ul.nav{flex-direction:row}@media(max-width: 567px){ul.nav{flex-direction:column}.TabbedNavigation li{max-width:100%}.TabbedNavigation li.active{background-color:var(--background-grey, #dddde2)}.TabbedNavigation li.active:before,.TabbedNavigation li.active:after{display:none}}</style></div></div></div><div class="container"><div class="row"><div class="col-xs-12"><div class="u-displayFlex"><div class="u-flexGrow1"><div class="works"><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_45111172 coauthored" data-work_id="45111172" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/45111172/Automatic_Synset_Extraction_from_Text_Documents_Using_a_Graph_Based_Clustering_Approach_via_Maximal_Cliques_Finding">Automatic Synset Extraction from Text Documents Using a Graph-Based Clustering Approach via Maximal Cliques Finding</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Semantic relations between words like synsets are used in automatic ontology production which is a strong tool in many NLP tasks. Synset extraction is usually dependent on other languages and resources using techniques such as mapping or... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_45111172" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Semantic relations between words like synsets are used in automatic ontology production which is a strong tool in many NLP tasks. Synset extraction is usually dependent on other languages and resources using techniques such as mapping or translation. In our proposed method, synsets are extracted merely from text and corpora. This frees us from the need for special resources including Word-Nets or dictionaries. The representation model for words of corpus is based on Vector Space model and the most similar words to each are extracted based on common features count (CFC) using a modified cosine similarity measure. Furthermore, a graph-based soft clustering approach is applied to create clusters of synonymous words. To examine performance of the proposed method, Extracted synsets were compared to other Persian semantic resources. Results show an accuracy of 80.25%, which indicates improvement in comparison to the 69.5% accuracy of pure clustering by committee method.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/45111172" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="33dec06aaa4c7f8a36884dc01939aed0" rel="nofollow" data-download="{"attachment_id":65677256,"asset_id":45111172,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/65677256/download_file?st=MTczMzI1OTQyNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="185376224" href="https://itrc.academia.edu/IJICTR">IJICTR Journal</a><script data-card-contents-for-user="185376224" type="text/json">{"id":185376224,"first_name":"IJICTR","last_name":"Journal","domain_name":"itrc","page_name":"IJICTR","display_name":"IJICTR Journal","profile_url":"https://itrc.academia.edu/IJICTR?f_ri=48624","photo":"https://0.academia-photos.com/185376224/51333037/39400802/s65_ijictr.journal.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-45111172">+1</span><div class="hidden js-additional-users-45111172"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/CSaedi">Chakaveh Saedi</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-45111172'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-45111172').html(); 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Synset extraction is usually dependent on other languages and resources using techniques such as mapping or translation. In our proposed method, synsets are extracted merely from text and corpora. This frees us from the need for special resources including Word-Nets or dictionaries. The representation model for words of corpus is based on Vector Space model and the most similar words to each are extracted based on common features count (CFC) using a modified cosine similarity measure. Furthermore, a graph-based soft clustering approach is applied to create clusters of synonymous words. To examine performance of the proposed method, Extracted synsets were compared to other Persian semantic resources. Results show an accuracy of 80.25%, which indicates improvement in comparison to the 69.5% accuracy of pure clustering by committee method.","downloadable_attachments":[{"id":65677256,"asset_id":45111172,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":185376224,"first_name":"IJICTR","last_name":"Journal","domain_name":"itrc","page_name":"IJICTR","display_name":"IJICTR Journal","profile_url":"https://itrc.academia.edu/IJICTR?f_ri=48624","photo":"https://0.academia-photos.com/185376224/51333037/39400802/s65_ijictr.journal.jpg"},{"id":188608482,"first_name":"Chakaveh","last_name":"Saedi","domain_name":"independent","page_name":"CSaedi","display_name":"Chakaveh Saedi","profile_url":"https://independent.academia.edu/CSaedi?f_ri=48624","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":35356,"name":"Persian","url":"https://www.academia.edu/Documents/in/Persian?f_ri=48624","nofollow":false},{"id":48624,"name":"Semantic 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Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=56041603]'), work: {"id":56041603,"title":"An Ontology Based Method for Normalisation of Multidimensional Terminology","created_at":"2021-10-06T12:44:43.347-07:00","url":"https://www.academia.edu/56041603/An_Ontology_Based_Method_for_Normalisation_of_Multidimensional_Terminology?f_ri=48624","dom_id":"work_56041603","summary":null,"downloadable_attachments":[{"id":71622490,"asset_id":56041603,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":96239531,"first_name":"Jamel","last_name":"FEKI","domain_name":"independent","page_name":"FEKIJamel","display_name":"Jamel FEKI","profile_url":"https://independent.academia.edu/FEKIJamel?f_ri=48624","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false},{"id":280765,"name":"Data Warehouse 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js-work-link" href="https://www.academia.edu/4801754/Brain_activation_in_the_processing_of_Chinese_characters_and_words_A_functional_MRI_study">Brain activation in the processing of Chinese characters and words: A functional MRI study</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/4801754" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="9084153b5e95fb469cd1f7e2ee6ea6dd" rel="nofollow" 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Spinks","profile_url":"https://hku-hk.academia.edu/JohnASpinks?f_ri=48624","photo":"https://0.academia-photos.com/212391/810700/1008388/s65_john_a..spinks.jpg"}</script></span></span></li><li class="js-paper-rank-work_4801754 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="4801754"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 4801754, container: ".js-paper-rank-work_4801754", }); });</script></li><li class="js-percentile-work_4801754 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 4801754; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_4801754"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_4801754 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="4801754"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 4801754; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=4801754]").text(description); $(".js-view-count-work_4801754").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_4801754").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="4801754"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">17</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="237" href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a>, <script data-card-contents-for-ri="237" type="text/json">{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6200" href="https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging">Magnetic Resonance Imaging</a>, <script data-card-contents-for-ri="6200" type="text/json">{"id":6200,"name":"Magnetic Resonance Imaging","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9224" href="https://www.academia.edu/Documents/in/Functional_MRI">Functional MRI</a>, <script data-card-contents-for-ri="9224" type="text/json">{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9471" href="https://www.academia.edu/Documents/in/Reading">Reading</a><script data-card-contents-for-ri="9471" type="text/json">{"id":9471,"name":"Reading","url":"https://www.academia.edu/Documents/in/Reading?f_ri=48624","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=4801754]'), work: {"id":4801754,"title":"Brain activation in the processing of Chinese characters and words: A functional MRI study","created_at":"2013-10-17T10:47:30.789-07:00","url":"https://www.academia.edu/4801754/Brain_activation_in_the_processing_of_Chinese_characters_and_words_A_functional_MRI_study?f_ri=48624","dom_id":"work_4801754","summary":null,"downloadable_attachments":[{"id":49627367,"asset_id":4801754,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":212391,"first_name":"John A.","last_name":"Spinks","domain_name":"hku-hk","page_name":"JohnASpinks","display_name":"John A. Spinks","profile_url":"https://hku-hk.academia.edu/JohnASpinks?f_ri=48624","photo":"https://0.academia-photos.com/212391/810700/1008388/s65_john_a..spinks.jpg"}],"research_interests":[{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science?f_ri=48624","nofollow":false},{"id":6200,"name":"Magnetic Resonance Imaging","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging?f_ri=48624","nofollow":false},{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=48624","nofollow":false},{"id":9471,"name":"Reading","url":"https://www.academia.edu/Documents/in/Reading?f_ri=48624","nofollow":false},{"id":29917,"name":"FMRI","url":"https://www.academia.edu/Documents/in/FMRI?f_ri=48624"},{"id":46118,"name":"Handwriting","url":"https://www.academia.edu/Documents/in/Handwriting?f_ri=48624"},{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624"},{"id":52176,"name":"Brain Mapping","url":"https://www.academia.edu/Documents/in/Brain_Mapping?f_ri=48624"},{"id":61474,"name":"Brain","url":"https://www.academia.edu/Documents/in/Brain?f_ri=48624"},{"id":123404,"name":"Verbal behavior","url":"https://www.academia.edu/Documents/in/Verbal_behavior?f_ri=48624"},{"id":128282,"name":"Visual System","url":"https://www.academia.edu/Documents/in/Visual_System?f_ri=48624"},{"id":203010,"name":"Human Brain","url":"https://www.academia.edu/Documents/in/Human_Brain?f_ri=48624"},{"id":396022,"name":"Semantic retrieval","url":"https://www.academia.edu/Documents/in/Semantic_retrieval?f_ri=48624"},{"id":406036,"name":"Parietal Lobe","url":"https://www.academia.edu/Documents/in/Parietal_Lobe?f_ri=48624"},{"id":685368,"name":"Human Brain Mapping","url":"https://www.academia.edu/Documents/in/Human_Brain_Mapping?f_ri=48624"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences?f_ri=48624"},{"id":2234200,"name":"Functional Laterality","url":"https://www.academia.edu/Documents/in/Functional_Laterality?f_ri=48624"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_28551109" data-work_id="28551109" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/28551109/Lexical_access_with_and_without_awareness">Lexical access with and without awareness</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/28551109" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="a9631bba54794df8ae44c5dc1cba933c" rel="nofollow" data-download="{"attachment_id":48905799,"asset_id":28551109,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/48905799/download_file?st=MTczMzI1OTQyNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="27525" href="https://tamu.academia.edu/LouisTassinary">Louis Tassinary</a><script data-card-contents-for-user="27525" type="text/json">{"id":27525,"first_name":"Louis","last_name":"Tassinary","domain_name":"tamu","page_name":"LouisTassinary","display_name":"Louis Tassinary","profile_url":"https://tamu.academia.edu/LouisTassinary?f_ri=48624","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_28551109 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="28551109"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 28551109, container: ".js-paper-rank-work_28551109", }); 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$(".js-view-count[data-work-id=28551109]").text(description); $(".js-view-count-work_28551109").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_28551109").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="28551109"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">9</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="221" href="https://www.academia.edu/Documents/in/Psychology">Psychology</a>, <script data-card-contents-for-ri="221" type="text/json">{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="237" href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a>, <script data-card-contents-for-ri="237" type="text/json">{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="258" href="https://www.academia.edu/Documents/in/Experimental_Psychology">Experimental Psychology</a>, <script data-card-contents-for-ri="258" type="text/json">{"id":258,"name":"Experimental Psychology","url":"https://www.academia.edu/Documents/in/Experimental_Psychology?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="48624" href="https://www.academia.edu/Documents/in/Semantic_relations">Semantic relations</a><script data-card-contents-for-ri="48624" type="text/json">{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=28551109]'), work: {"id":28551109,"title":"Lexical access with and without awareness","created_at":"2016-09-17T03:43:34.097-07:00","url":"https://www.academia.edu/28551109/Lexical_access_with_and_without_awareness?f_ri=48624","dom_id":"work_28551109","summary":null,"downloadable_attachments":[{"id":48905799,"asset_id":28551109,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":27525,"first_name":"Louis","last_name":"Tassinary","domain_name":"tamu","page_name":"LouisTassinary","display_name":"Louis Tassinary","profile_url":"https://tamu.academia.edu/LouisTassinary?f_ri=48624","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=48624","nofollow":false},{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science?f_ri=48624","nofollow":false},{"id":258,"name":"Experimental Psychology","url":"https://www.academia.edu/Documents/in/Experimental_Psychology?f_ri=48624","nofollow":false},{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false},{"id":67899,"name":"Semantic Relatedness","url":"https://www.academia.edu/Documents/in/Semantic_Relatedness?f_ri=48624"},{"id":165418,"name":"Lexical Decision","url":"https://www.academia.edu/Documents/in/Lexical_Decision?f_ri=48624"},{"id":171307,"name":"Lexical access","url":"https://www.academia.edu/Documents/in/Lexical_access?f_ri=48624"},{"id":329844,"name":"Experimental","url":"https://www.academia.edu/Documents/in/Experimental?f_ri=48624"},{"id":1228946,"name":"Physical Properties","url":"https://www.academia.edu/Documents/in/Physical_Properties?f_ri=48624"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_17964259" data-work_id="17964259" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/17964259/EVALution_1_0_an_Evolving_Semantic_Dataset_for_Training_and_Evaluation_of_Distributional_Semantic_Models">EVALution 1.0: an Evolving Semantic Dataset for Training and Evaluation of Distributional Semantic Models</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In this paper, we introduce EVALution 1.0, a dataset designed for the training and the evaluation of Distributional Semantic Models (DSMs). This version consists of almost 7.5K tuples, instantiating several semantic relations between word... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_17964259" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In this paper, we introduce EVALution 1.0, a dataset designed for the training and the evaluation of Distributional Semantic Models (DSMs). This version consists of almost 7.5K tuples, instantiating several semantic relations between word pairs (including hypernymy, synonymy, antonymy, meronymy). The dataset is enriched with a large amount of additional information (i.e. relation domain, word frequency, word POS, word semantic field, etc.) that can be used for either filtering the pairs or performing an in-depth analysis of the results. The tuples were extracted from a combination of ConceptNet 5.0 andWordNet 4.0, and subsequently filtered through automatic methods and crowdsourcing in order to ensure their quality. The dataset is freely downloadable. An extension in RDF format, including also scripts for data processing, is under development.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/17964259" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="450aa77b79695b81142d4677a6f6bf48" rel="nofollow" data-download="{"attachment_id":39802927,"asset_id":17964259,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/39802927/download_file?st=MTczMzI1OTQyNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="26575831" href="https://independent.academia.edu/AlessandroLenci">Alessandro Lenci</a><script data-card-contents-for-user="26575831" type="text/json">{"id":26575831,"first_name":"Alessandro","last_name":"Lenci","domain_name":"independent","page_name":"AlessandroLenci","display_name":"Alessandro Lenci","profile_url":"https://independent.academia.edu/AlessandroLenci?f_ri=48624","photo":"https://0.academia-photos.com/26575831/7612314/8543514/s65_alessandro.lenci.jpg"}</script></span></span></li><li class="js-paper-rank-work_17964259 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="17964259"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 17964259, container: ".js-paper-rank-work_17964259", }); 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This version consists of almost 7.5K tuples, instantiating several semantic relations between word pairs (including hypernymy, synonymy, antonymy, meronymy). The dataset is enriched with a large amount of additional information (i.e. relation domain, word frequency, word POS, word semantic field, etc.) that can be used for either filtering the pairs or performing an in-depth analysis of the results. The tuples were extracted from a combination of ConceptNet 5.0 andWordNet 4.0, and subsequently filtered through automatic methods and crowdsourcing in order to ensure their quality. The dataset is freely downloadable. 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Earliest Phases of Alzheimer&rsquo;s Disease</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/25672266" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="1629e0b817999942bd7b4a059c14af8d" rel="nofollow" data-download="{"attachment_id":46012107,"asset_id":25672266,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" 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relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="104834" href="https://www.academia.edu/Documents/in/Statistical_Techniques_in_Spatial_Analysis">Statistical Techniques in Spatial Analysis</a>, <script data-card-contents-for-ri="104834" type="text/json">{"id":104834,"name":"Statistical Techniques in Spatial Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Techniques_in_Spatial_Analysis?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="135549" href="https://www.academia.edu/Documents/in/SWAP">SWAP</a><script data-card-contents-for-ri="135549" type="text/json">{"id":135549,"name":"SWAP","url":"https://www.academia.edu/Documents/in/SWAP?f_ri=48624","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=72327092]'), work: {"id":72327092,"title":"Combining statistical techniques and lexico-syntactic patterns for semantic relations extraction from text","created_at":"2022-02-23T07:47:11.086-08:00","url":"https://www.academia.edu/72327092/Combining_statistical_techniques_and_lexico_syntactic_patterns_for_semantic_relations_extraction_from_text?f_ri=48624","dom_id":"work_72327092","summary":null,"downloadable_attachments":[{"id":81298060,"asset_id":72327092,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":3639236,"first_name":"SImonetta","last_name":"Montemagni","domain_name":"cnr-it","page_name":"SImonettaMontemagni","display_name":"SImonetta Montemagni","profile_url":"https://cnr-it.academia.edu/SImonettaMontemagni?f_ri=48624","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=48624","nofollow":false},{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false},{"id":104834,"name":"Statistical Techniques in Spatial Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Techniques_in_Spatial_Analysis?f_ri=48624","nofollow":false},{"id":135549,"name":"SWAP","url":"https://www.academia.edu/Documents/in/SWAP?f_ri=48624","nofollow":false},{"id":234977,"name":"Semantic Annotation","url":"https://www.academia.edu/Documents/in/Semantic_Annotation?f_ri=48624"},{"id":315924,"name":"Distributional Similarity","url":"https://www.academia.edu/Documents/in/Distributional_Similarity?f_ri=48624"},{"id":481229,"name":"Web Pages","url":"https://www.academia.edu/Documents/in/Web_Pages?f_ri=48624"},{"id":727235,"name":"Ontology learning","url":"https://www.academia.edu/Documents/in/Ontology_learning?f_ri=48624"},{"id":2062400,"name":"Ontology Learning from Text","url":"https://www.academia.edu/Documents/in/Ontology_Learning_from_Text?f_ri=48624"},{"id":2519467,"name":"Statistical techniques","url":"https://www.academia.edu/Documents/in/Statistical_techniques?f_ri=48624"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_9549283" data-work_id="9549283" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/9549283/Automatic_information_processing_and_social_perception_The_influence_of_trait_information_presented_outside_of_conscious_awareness_on_impression_formation">Automatic information processing and social perception: The influence of trait information presented outside of conscious awareness on impression formation</a></div></div><div class="u-pb4x u-mt3x"></div><ul 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data-has-card-for-ri="39" href="https://www.academia.edu/Documents/in/Marketing">Marketing</a>, <script data-card-contents-for-ri="39" type="text/json">{"id":39,"name":"Marketing","url":"https://www.academia.edu/Documents/in/Marketing?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="221" href="https://www.academia.edu/Documents/in/Psychology">Psychology</a>, <script data-card-contents-for-ri="221" type="text/json">{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="237" href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a>, <script data-card-contents-for-ri="237" type="text/json">{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="18440" href="https://www.academia.edu/Documents/in/Social_Perception">Social Perception</a><script data-card-contents-for-ri="18440" type="text/json">{"id":18440,"name":"Social Perception","url":"https://www.academia.edu/Documents/in/Social_Perception?f_ri=48624","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=9549283]'), work: {"id":9549283,"title":"Automatic information processing and social perception: The influence of trait information presented outside of conscious awareness on impression 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Pietromonaco","profile_url":"https://umass.academia.edu/PaulaPietromonaco?f_ri=48624","photo":"https://0.academia-photos.com/22479543/51486717/39561547/s65_paula.pietromonaco.jpg"}],"research_interests":[{"id":39,"name":"Marketing","url":"https://www.academia.edu/Documents/in/Marketing?f_ri=48624","nofollow":false},{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=48624","nofollow":false},{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science?f_ri=48624","nofollow":false},{"id":18440,"name":"Social Perception","url":"https://www.academia.edu/Documents/in/Social_Perception?f_ri=48624","nofollow":false},{"id":36837,"name":"Information Processing","url":"https://www.academia.edu/Documents/in/Information_Processing?f_ri=48624"},{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624"},{"id":73464,"name":"Impression formation","url":"https://www.academia.edu/Documents/in/Impression_formation?f_ri=48624"},{"id":294340,"name":"Journal of Personality and Social Psychology","url":"https://www.academia.edu/Documents/in/Journal_of_Personality_and_Social_Psychology?f_ri=48624"},{"id":985258,"name":"Information Presentation","url":"https://www.academia.edu/Documents/in/Information_Presentation?f_ri=48624"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_355639" data-work_id="355639" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/355639/Connecting_the_Dots_Music_Metadata_Generation_Schemas_and_Applications">Connecting the Dots: Music Metadata Generation, Schemas and Applications</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/355639" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="1ab46561a71266f61186500eb412a04b" rel="nofollow" data-download="{"attachment_id":3250853,"asset_id":355639,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/3250853/download_file?st=MTczMzI1OTQyNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span 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u-mr2x" data-work-id="355639"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 355639; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=355639]").text(description); $(".js-view-count-work_355639").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_355639").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="355639"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="40276" href="https://www.academia.edu/Documents/in/Proceedings">Proceedings</a>, <script data-card-contents-for-ri="40276" type="text/json">{"id":40276,"name":"Proceedings","url":"https://www.academia.edu/Documents/in/Proceedings?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="48624" href="https://www.academia.edu/Documents/in/Semantic_relations">Semantic relations</a>, <script data-card-contents-for-ri="48624" type="text/json">{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="84551" href="https://www.academia.edu/Documents/in/Decision_Table">Decision Table</a>, <script data-card-contents-for-ri="84551" type="text/json">{"id":84551,"name":"Decision Table","url":"https://www.academia.edu/Documents/in/Decision_Table?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="330861" href="https://www.academia.edu/Documents/in/Digital_music">Digital music</a><script data-card-contents-for-ri="330861" type="text/json">{"id":330861,"name":"Digital music","url":"https://www.academia.edu/Documents/in/Digital_music?f_ri=48624","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=355639]'), work: {"id":355639,"title":"Connecting the Dots: Music Metadata Generation, Schemas and Applications","created_at":"2010-10-28T19:26:08.741-07:00","url":"https://www.academia.edu/355639/Connecting_the_Dots_Music_Metadata_Generation_Schemas_and_Applications?f_ri=48624","dom_id":"work_355639","summary":null,"downloadable_attachments":[{"id":3250853,"asset_id":355639,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":273317,"first_name":"Nik","last_name":"Corthaut","domain_name":"kuleuven","page_name":"NikCorthaut","display_name":"Nik Corthaut","profile_url":"https://kuleuven.academia.edu/NikCorthaut?f_ri=48624","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":40276,"name":"Proceedings","url":"https://www.academia.edu/Documents/in/Proceedings?f_ri=48624","nofollow":false},{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false},{"id":84551,"name":"Decision Table","url":"https://www.academia.edu/Documents/in/Decision_Table?f_ri=48624","nofollow":false},{"id":330861,"name":"Digital music","url":"https://www.academia.edu/Documents/in/Digital_music?f_ri=48624","nofollow":false},{"id":1014928,"name":"Function Space","url":"https://www.academia.edu/Documents/in/Function_Space?f_ri=48624"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_10116440" data-work_id="10116440" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/10116440/Re_Visiting_Semantic_Facilitation_of_Word_Retrieval_for_People_with_Aphasia_Facilitation_Yes_But_Semantic_No">Re-Visiting “Semantic Facilitation” of Word Retrieval for People with Aphasia: Facilitation Yes But Semantic No</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Previous research has shown that word-to-picture matching for targets that cannot be named at pre-test results in improved naming relative to untreated control items for people with aphasia. This paper replicates and extends this finding... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_10116440" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Previous research has shown that word-to-picture matching for targets that cannot be named at pre-test results in improved naming relative to untreated control items for people with aphasia. This paper replicates and extends this finding and investigates its source. Is the effect a result of priming of semantic representations, or of post-semantic mechanisms in word retrieval?The first experiment shows that word-to-picture matching with unrelated distractors improves naming at short (2-3 minutes) and long (up to 25 minute) lags. There was no effect of being made aware of the relationship between word-to- picture matching and picture naming. People who have a semantic impairment improve only with a short lag between word-to-picture matching and naming. Participants with less semantic impairment show larger priming effects that are equal at short and long lags between word-to-picture matching and naming.The second experiment shows that the facilitation effect is just as large for word-to-picture matching with unrelated distractors as with semantically-related distractors. Furthermore, overall there was no difference between matching with coordinate items and with associated items.The results of these experiments show that facilitation of naming by word-to-picture matching in people with aphasia cannot be a result of the priming of semantic representations. Instead they are consistent with two effects: word-to-picture matching results in priming at a lemma level for aphasic people with a semantic impairment that is only found with a short lag between word-to-picture matching and naming. Word-to-picture matching causes priming of the lemma to output lexicon entry mapping that benefits participants with less semantic impairment that is evident at both a short and long lag between word-to-picture matching and naming. These findings fit well with previous research on repetition priming of naming with normal subjects.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/10116440" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="6e2e04e00eef53b63d8e609072db0e59" rel="nofollow" data-download="{"attachment_id":47523223,"asset_id":10116440,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/47523223/download_file?st=MTczMzI1OTQyNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="24672302" href="https://independent.academia.edu/JulieHickin">Julie Hickin</a><script data-card-contents-for-user="24672302" type="text/json">{"id":24672302,"first_name":"Julie","last_name":"Hickin","domain_name":"independent","page_name":"JulieHickin","display_name":"Julie Hickin","profile_url":"https://independent.academia.edu/JulieHickin?f_ri=48624","photo":"https://0.academia-photos.com/24672302/14596947/17595579/s65_julie.hickin.jpg"}</script></span></span></li><li class="js-paper-rank-work_10116440 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="10116440"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 10116440, container: ".js-paper-rank-work_10116440", }); });</script></li><li class="js-percentile-work_10116440 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 10116440; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_10116440"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_10116440 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="10116440"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 10116440; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=10116440]").text(description); $(".js-view-count-work_10116440").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_10116440").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="10116440"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">12</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="237" href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a>, <script data-card-contents-for-ri="237" type="text/json">{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2349" href="https://www.academia.edu/Documents/in/Semantics">Semantics</a>, <script data-card-contents-for-ri="2349" type="text/json">{"id":2349,"name":"Semantics","url":"https://www.academia.edu/Documents/in/Semantics?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5738" href="https://www.academia.edu/Documents/in/Aphasia">Aphasia</a>, <script data-card-contents-for-ri="5738" type="text/json">{"id":5738,"name":"Aphasia","url":"https://www.academia.edu/Documents/in/Aphasia?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="48624" href="https://www.academia.edu/Documents/in/Semantic_relations">Semantic relations</a><script data-card-contents-for-ri="48624" type="text/json">{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=10116440]'), work: {"id":10116440,"title":"Re-Visiting “Semantic Facilitation” of Word Retrieval for People with Aphasia: Facilitation Yes But Semantic No","created_at":"2015-01-11T16:16:43.637-08:00","url":"https://www.academia.edu/10116440/Re_Visiting_Semantic_Facilitation_of_Word_Retrieval_for_People_with_Aphasia_Facilitation_Yes_But_Semantic_No?f_ri=48624","dom_id":"work_10116440","summary":"Previous research has shown that word-to-picture matching for targets that cannot be named at pre-test results in improved naming relative to untreated control items for people with aphasia. This paper replicates and extends this finding and investigates its source. Is the effect a result of priming of semantic representations, or of post-semantic mechanisms in word retrieval?The first experiment shows that word-to-picture matching with unrelated distractors improves naming at short (2-3 minutes) and long (up to 25 minute) lags. There was no effect of being made aware of the relationship between word-to- picture matching and picture naming. People who have a semantic impairment improve only with a short lag between word-to-picture matching and naming. Participants with less semantic impairment show larger priming effects that are equal at short and long lags between word-to-picture matching and naming.The second experiment shows that the facilitation effect is just as large for word-to-picture matching with unrelated distractors as with semantically-related distractors. Furthermore, overall there was no difference between matching with coordinate items and with associated items.The results of these experiments show that facilitation of naming by word-to-picture matching in people with aphasia cannot be a result of the priming of semantic representations. Instead they are consistent with two effects: word-to-picture matching results in priming at a lemma level for aphasic people with a semantic impairment that is only found with a short lag between word-to-picture matching and naming. Word-to-picture matching causes priming of the lemma to output lexicon entry mapping that benefits participants with less semantic impairment that is evident at both a short and long lag between word-to-picture matching and naming. These findings fit well with previous research on repetition priming of naming with normal subjects.","downloadable_attachments":[{"id":47523223,"asset_id":10116440,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":24672302,"first_name":"Julie","last_name":"Hickin","domain_name":"independent","page_name":"JulieHickin","display_name":"Julie Hickin","profile_url":"https://independent.academia.edu/JulieHickin?f_ri=48624","photo":"https://0.academia-photos.com/24672302/14596947/17595579/s65_julie.hickin.jpg"}],"research_interests":[{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science?f_ri=48624","nofollow":false},{"id":2349,"name":"Semantics","url":"https://www.academia.edu/Documents/in/Semantics?f_ri=48624","nofollow":false},{"id":5738,"name":"Aphasia","url":"https://www.academia.edu/Documents/in/Aphasia?f_ri=48624","nofollow":false},{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false},{"id":61234,"name":"Stroke","url":"https://www.academia.edu/Documents/in/Stroke?f_ri=48624"},{"id":88325,"name":"Cues","url":"https://www.academia.edu/Documents/in/Cues?f_ri=48624"},{"id":114550,"name":"Cortex","url":"https://www.academia.edu/Documents/in/Cortex?f_ri=48624"},{"id":319041,"name":"Repetition Priming","url":"https://www.academia.edu/Documents/in/Repetition_Priming?f_ri=48624"},{"id":369542,"name":"Picture Naming","url":"https://www.academia.edu/Documents/in/Picture_Naming?f_ri=48624"},{"id":456942,"name":"Semantic representation","url":"https://www.academia.edu/Documents/in/Semantic_representation?f_ri=48624"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences?f_ri=48624"},{"id":1415133,"name":"Verbal Learning","url":"https://www.academia.edu/Documents/in/Verbal_Learning?f_ri=48624"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_14902326" data-work_id="14902326" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/14902326/Lexical_Resources_for_Noun_Compounds_in_Czech_English_and_Zulu">Lexical Resources for Noun Compounds in Czech, English and Zulu</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In this paper we discuss noun compounding, a highly generative, productive process, in three distinct languages: Czech, English and Zulu. Derivational morphology presents a large grey area between regular, compositional and idiosyncratic,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_14902326" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In this paper we discuss noun compounding, a highly generative, productive process, in three distinct languages: Czech, English and Zulu. Derivational morphology presents a large grey area between regular, compositional and idiosyncratic, non-compositional word forms. The structural properties of compounds in each of the languages are reviewed and contrasted. Whereas English compounds are head-final and thus left-branching, Czech and Zulu</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/14902326" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="8b4fc74f97566bc7525e8abdb5fa548a" rel="nofollow" data-download="{"attachment_id":43792542,"asset_id":14902326,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/43792542/download_file?st=MTczMzI1OTQyNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="33882453" href="https://unisouthafr.academia.edu/SonjaBosch">Sonja Bosch</a><script data-card-contents-for-user="33882453" type="text/json">{"id":33882453,"first_name":"Sonja","last_name":"Bosch","domain_name":"unisouthafr","page_name":"SonjaBosch","display_name":"Sonja Bosch","profile_url":"https://unisouthafr.academia.edu/SonjaBosch?f_ri=48624","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_14902326 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="14902326"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 14902326, container: ".js-paper-rank-work_14902326", }); });</script></li><li class="js-percentile-work_14902326 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 14902326; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_14902326"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_14902326 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="14902326"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 14902326; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=14902326]").text(description); $(".js-view-count-work_14902326").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_14902326").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="14902326"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="48624" href="https://www.academia.edu/Documents/in/Semantic_relations">Semantic relations</a>, <script data-card-contents-for-ri="48624" type="text/json">{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="385144" href="https://www.academia.edu/Documents/in/Production_Process">Production Process</a>, <script data-card-contents-for-ri="385144" type="text/json">{"id":385144,"name":"Production Process","url":"https://www.academia.edu/Documents/in/Production_Process?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="494642" href="https://www.academia.edu/Documents/in/Structural_Properties">Structural Properties</a><script data-card-contents-for-ri="494642" type="text/json">{"id":494642,"name":"Structural Properties","url":"https://www.academia.edu/Documents/in/Structural_Properties?f_ri=48624","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=14902326]'), work: {"id":14902326,"title":"Lexical Resources for Noun Compounds in Czech, English and Zulu","created_at":"2015-08-13T10:32:08.073-07:00","url":"https://www.academia.edu/14902326/Lexical_Resources_for_Noun_Compounds_in_Czech_English_and_Zulu?f_ri=48624","dom_id":"work_14902326","summary":"In this paper we discuss noun compounding, a highly generative, productive process, in three distinct languages: Czech, English and Zulu. Derivational morphology presents a large grey area between regular, compositional and idiosyncratic, non-compositional word forms. The structural properties of compounds in each of the languages are reviewed and contrasted. Whereas English compounds are head-final and thus left-branching, Czech and Zulu","downloadable_attachments":[{"id":43792542,"asset_id":14902326,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":33882453,"first_name":"Sonja","last_name":"Bosch","domain_name":"unisouthafr","page_name":"SonjaBosch","display_name":"Sonja Bosch","profile_url":"https://unisouthafr.academia.edu/SonjaBosch?f_ri=48624","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false},{"id":385144,"name":"Production Process","url":"https://www.academia.edu/Documents/in/Production_Process?f_ri=48624","nofollow":false},{"id":494642,"name":"Structural Properties","url":"https://www.academia.edu/Documents/in/Structural_Properties?f_ri=48624","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_20339978" data-work_id="20339978" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/20339978/A_Study_on_the_Interrelation_between_Incompatible_Relation_and_Lexical_Relation_Korean_">A Study on the Interrelation between Incompatible Relation and Lexical Relation [Korean]</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper aims to investigate a concept and scope of ‘incompatible relation’ in major preceding researches of semantics. Concerning a concept of incompatible relation, I draw a distinction between paradigmatic and syntagmatic relation of... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_20339978" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper aims to investigate a concept and scope of ‘incompatible relation’ in major preceding researches of semantics. Concerning a concept of incompatible relation, I draw a distinction between paradigmatic and syntagmatic relation of items. The former of the two could be classified into three different notions again. First, an exclusive relation among words within a lexical field, that is a contrastive relation among co-hyponyms. Second, a relation among words extraneous. Third, a comprehensive term that includes antonymy and co-hyponymy. Through considering each of the notions, I conclude that incompatible relation is not that is limited to paradigmatic relation of level of words but that is regarded as a paradigmatic and syntagmatic relation of several levels. In accordance with this notion, incompatible relation is defined as a relation that imply a contrast(or exclusion) among the random items in a certain dimension. And an extension of incompatible relation covers levels of a ‘concept’, a ‘meaning’, a ‘phoneme’, a ‘morpheme’, a ‘word’, and a ‘sentence’. From among these, it’s a meaning, a morpheme, a word, and a sentence level that have a relationship with semantics. Lastly I commented that incompatible relation implies a paradigmatic irreplaceability and a syntagmatic conflict of semantic feature.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/20339978" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="9c35869552bb9a5a39bdc104750490cc" rel="nofollow" data-download="{"attachment_id":41298187,"asset_id":20339978,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/41298187/download_file?st=MTczMzI1OTQyNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="41256653" href="https://kyonggi.academia.edu/JaehakDo">Jaehak Do</a><script data-card-contents-for-user="41256653" type="text/json">{"id":41256653,"first_name":"Jaehak","last_name":"Do","domain_name":"kyonggi","page_name":"JaehakDo","display_name":"Jaehak Do","profile_url":"https://kyonggi.academia.edu/JaehakDo?f_ri=48624","photo":"https://0.academia-photos.com/41256653/11275776/30869192/s65_jaehak.do.jpg"}</script></span></span></li><li class="js-paper-rank-work_20339978 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="20339978"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 20339978, container: ".js-paper-rank-work_20339978", }); 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$(".js-view-count[data-work-id=20339978]").text(description); $(".js-view-count-work_20339978").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_20339978").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="20339978"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="48624" href="https://www.academia.edu/Documents/in/Semantic_relations">Semantic relations</a>, <script data-card-contents-for-ri="48624" type="text/json">{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="175298" href="https://www.academia.edu/Documents/in/Lexical_relations">Lexical relations</a><script data-card-contents-for-ri="175298" type="text/json">{"id":175298,"name":"Lexical relations","url":"https://www.academia.edu/Documents/in/Lexical_relations?f_ri=48624","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=20339978]'), work: {"id":20339978,"title":"A Study on the Interrelation between Incompatible Relation and Lexical Relation [Korean]","created_at":"2016-01-17T22:26:04.489-08:00","url":"https://www.academia.edu/20339978/A_Study_on_the_Interrelation_between_Incompatible_Relation_and_Lexical_Relation_Korean_?f_ri=48624","dom_id":"work_20339978","summary":"This paper aims to investigate a concept and scope of ‘incompatible relation’ in major preceding researches of semantics. Concerning a concept of incompatible relation, I draw a distinction between paradigmatic and syntagmatic relation of items. The former of the two could be classified into three different notions again. First, an exclusive relation among words within a lexical field, that is a contrastive relation among co-hyponyms. Second, a relation among words extraneous. Third, a comprehensive term that includes antonymy and co-hyponymy. Through considering each of the notions, I conclude that incompatible relation is not that is limited to paradigmatic relation of level of words but that is regarded as a paradigmatic and syntagmatic relation of several levels. In accordance with this notion, incompatible relation is defined as a relation that imply a contrast(or exclusion) among the random items in a certain dimension. And an extension of incompatible relation covers levels of a ‘concept’, a ‘meaning’, a ‘phoneme’, a ‘morpheme’, a ‘word’, and a ‘sentence’. From among these, it’s a meaning, a morpheme, a word, and a sentence level that have a relationship with semantics. Lastly I commented that incompatible relation implies a paradigmatic irreplaceability and a syntagmatic conflict of semantic feature.","downloadable_attachments":[{"id":41298187,"asset_id":20339978,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":41256653,"first_name":"Jaehak","last_name":"Do","domain_name":"kyonggi","page_name":"JaehakDo","display_name":"Jaehak Do","profile_url":"https://kyonggi.academia.edu/JaehakDo?f_ri=48624","photo":"https://0.academia-photos.com/41256653/11275776/30869192/s65_jaehak.do.jpg"}],"research_interests":[{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false},{"id":175298,"name":"Lexical relations","url":"https://www.academia.edu/Documents/in/Lexical_relations?f_ri=48624","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card 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u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/4264260/The_role_of_vocabulary_depth_in_predicting_reading_comprehension_among_English_monolingual_and_Spanish_English_bilingual_children_in_elementary_school">The role of vocabulary depth in predicting reading comprehension among English monolingual and Spanish–English bilingual children in elementary school</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The present study investigated the role of vocabulary depth in reading comprehension among a diverse sample of monolingual and bilingual children in grades 2–4. Vocabulary depth was defined as including morphological awareness, awareness... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_4264260" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The present study investigated the role of vocabulary depth in reading comprehension among a diverse sample of monolingual and bilingual children in grades 2–4. Vocabulary depth was defined as including morphological awareness, awareness of semantic relations, and syntactic awareness. Two hundred ninety-four children from 3 schools in a Mid-Atlantic district and 3 schools in a Northeastern school district participated in the study and were assessed at the beginning and end of one school year on a wide variety of language and literacy measures. Bilingual children were assessed in English and Spanish. A latent difference score model that assessed change in a latent indicator of English reading comprehension from Time 1 (Fall) to Time 2 (Spring) was tested with results showing that vocabulary depth measures made significant contributions to initial status, but not change, in reading comprehension over and above between-subjects factors (grade, ethnicity, language status) and baseline control within-subject factors (word identification and vocabulary breadth). There was no added contribution of Spanish language measures to English reading comprehension among the bilingual students.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/4264260" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="5185debe6b7ec0d818b495c1de5a198e" rel="nofollow" data-download="{"attachment_id":49969341,"asset_id":4264260,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49969341/download_file?st=MTczMzI1OTQyNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="5169484" href="https://umd.academia.edu/RebeccaSilverman">Rebecca Silverman</a><script data-card-contents-for-user="5169484" type="text/json">{"id":5169484,"first_name":"Rebecca","last_name":"Silverman","domain_name":"umd","page_name":"RebeccaSilverman","display_name":"Rebecca Silverman","profile_url":"https://umd.academia.edu/RebeccaSilverman?f_ri=48624","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_4264260 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="4264260"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 4264260, container: ".js-paper-rank-work_4264260", }); 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Vocabulary depth was defined as including morphological awareness, awareness of semantic relations, and syntactic awareness. Two hundred ninety-four children from 3 schools in a Mid-Atlantic district and 3 schools in a Northeastern school district participated in the study and were assessed at the beginning and end of one school year on a wide variety of language and literacy measures. Bilingual children were assessed in English and Spanish. A latent difference score model that assessed change in a latent indicator of English reading comprehension from Time 1 (Fall) to Time 2 (Spring) was tested with results showing that vocabulary depth measures made significant contributions to initial status, but not change, in reading comprehension over and above between-subjects factors (grade, ethnicity, language status) and baseline control within-subject factors (word identification and vocabulary breadth). 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href="https://www.academia.edu/Documents/in/Information_Systems">Information Systems</a>, <script data-card-contents-for-ri="37" type="text/json">{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4205" href="https://www.academia.edu/Documents/in/Data_Analysis">Data Analysis</a>, <script data-card-contents-for-ri="4205" type="text/json">{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="45871" href="https://www.academia.edu/Documents/in/Data_Warehouse">Data Warehouse</a>, <script data-card-contents-for-ri="45871" type="text/json">{"id":45871,"name":"Data Warehouse","url":"https://www.academia.edu/Documents/in/Data_Warehouse?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="48624" href="https://www.academia.edu/Documents/in/Semantic_relations">Semantic relations</a><script data-card-contents-for-ri="48624" type="text/json">{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=13777883]'), work: {"id":13777883,"title":"A semantic approach to ETL technologies","created_at":"2015-07-07T20:40:34.739-07:00","url":"https://www.academia.edu/13777883/A_semantic_approach_to_ETL_technologies?f_ri=48624","dom_id":"work_13777883","summary":null,"downloadable_attachments":[{"id":44965753,"asset_id":13777883,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":32983630,"first_name":"sonia","last_name":"bergamaschi","domain_name":"unimore","page_name":"soniabergamaschi","display_name":"sonia 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Analysis","url":"https://www.academia.edu/Documents/in/Cluster_Analysis?f_ri=48624"},{"id":247458,"name":"Semantic Mapping","url":"https://www.academia.edu/Documents/in/Semantic_Mapping?f_ri=48624"},{"id":1379965,"name":"Coupled Tank System","url":"https://www.academia.edu/Documents/in/Coupled_Tank_System?f_ri=48624"},{"id":1488770,"name":"Materialized views","url":"https://www.academia.edu/Documents/in/Materialized_views?f_ri=48624"},{"id":2070034,"name":"Data Format","url":"https://www.academia.edu/Documents/in/Data_Format?f_ri=48624"},{"id":2113240,"name":"Semantic Data Integration","url":"https://www.academia.edu/Documents/in/Semantic_Data_Integration?f_ri=48624"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_1904143" data-work_id="1904143" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/1904143/Taylor_2002_Near_synonyms_as_co_extensive_categories_High_and_tall_revisited">Taylor 2002. Near synonyms as co-extensive categories: High and tall revisited.</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">One of the least understood semantic relations is synonymy. While perfect synonyms are rare, ‘‘near synonyms’’ are especially numerous. Near synonyms are words which are similar in meaning, which tend not to be contrastive, but which are... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_1904143" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">One of the least understood semantic relations is synonymy. While perfect synonyms are<br />rare, ‘‘near synonyms’’ are especially numerous. Near synonyms are words which are similar<br />in meaning, which tend not to be contrastive, but which are distributed differently. Following<br />up an earlier study of the adjective tall, this paper examines the near synonyms high and tall,<br />and argues that the words offer different construals of an entity’s verticality. Drawing on work<br />by MacLaury in the domain of colour—in particular, MacLaury’s discovery of what he calls<br />‘‘co-extensive’’ colour categories and his explanation of coextension in terms of a dominant<br />and a recessive vantage—it is proposed that the distribution of the English adjectives can be<br />insightfully analyzed in terms of the co-extension relation, with high designating the dominant<br />vantage, tall the recessive vantage.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/1904143" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="99df60fa79a905222b03b7128950d495" rel="nofollow" data-download="{"attachment_id":27144805,"asset_id":1904143,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/27144805/download_file?st=MTczMzI1OTQyNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2067783" href="https://independent.academia.edu/JohnRTaylor">John R Taylor</a><script data-card-contents-for-user="2067783" type="text/json">{"id":2067783,"first_name":"John R","last_name":"Taylor","domain_name":"independent","page_name":"JohnRTaylor","display_name":"John R Taylor","profile_url":"https://independent.academia.edu/JohnRTaylor?f_ri=48624","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_1904143 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1904143"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1904143, container: ".js-paper-rank-work_1904143", }); 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$(".js-view-count[data-work-id=1904143]").text(description); $(".js-view-count-work_1904143").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_1904143").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="1904143"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="48624" href="https://www.academia.edu/Documents/in/Semantic_relations">Semantic relations</a>, <script data-card-contents-for-ri="48624" type="text/json">{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="115368" href="https://www.academia.edu/Documents/in/Colour">Colour</a>, <script data-card-contents-for-ri="115368" type="text/json">{"id":115368,"name":"Colour","url":"https://www.academia.edu/Documents/in/Colour?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="703330" href="https://www.academia.edu/Documents/in/Synonymy">Synonymy</a>, <script data-card-contents-for-ri="703330" type="text/json">{"id":703330,"name":"Synonymy","url":"https://www.academia.edu/Documents/in/Synonymy?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1035879" href="https://www.academia.edu/Documents/in/Vantage_Theory">Vantage Theory</a><script data-card-contents-for-ri="1035879" type="text/json">{"id":1035879,"name":"Vantage Theory","url":"https://www.academia.edu/Documents/in/Vantage_Theory?f_ri=48624","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=1904143]'), work: {"id":1904143,"title":"Taylor 2002. Near synonyms as co-extensive categories: High and tall revisited.","created_at":"2012-09-01T18:37:10.619-07:00","url":"https://www.academia.edu/1904143/Taylor_2002_Near_synonyms_as_co_extensive_categories_High_and_tall_revisited?f_ri=48624","dom_id":"work_1904143","summary":"One of the least understood semantic relations is synonymy. While perfect synonyms are\nrare, ‘‘near synonyms’’ are especially numerous. Near synonyms are words which are similar\nin meaning, which tend not to be contrastive, but which are distributed differently. Following\nup an earlier study of the adjective tall, this paper examines the near synonyms high and tall,\nand argues that the words offer different construals of an entity’s verticality. Drawing on work\nby MacLaury in the domain of colour—in particular, MacLaury’s discovery of what he calls\n‘‘co-extensive’’ colour categories and his explanation of coextension in terms of a dominant\nand a recessive vantage—it is proposed that the distribution of the English adjectives can be\ninsightfully analyzed in terms of the co-extension relation, with high designating the dominant\nvantage, tall the recessive vantage.","downloadable_attachments":[{"id":27144805,"asset_id":1904143,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2067783,"first_name":"John R","last_name":"Taylor","domain_name":"independent","page_name":"JohnRTaylor","display_name":"John R Taylor","profile_url":"https://independent.academia.edu/JohnRTaylor?f_ri=48624","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false},{"id":115368,"name":"Colour","url":"https://www.academia.edu/Documents/in/Colour?f_ri=48624","nofollow":false},{"id":703330,"name":"Synonymy","url":"https://www.academia.edu/Documents/in/Synonymy?f_ri=48624","nofollow":false},{"id":1035879,"name":"Vantage Theory","url":"https://www.academia.edu/Documents/in/Vantage_Theory?f_ri=48624","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_28167173" data-work_id="28167173" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/28167173/%EB%8B%A8%EC%96%B4_%EB%82%B4%EB%B6%80%EC%9D%98_%EC%9D%98%EB%AF%B8_%EA%B4%80%EA%B3%84%EC%97%90_%EB%8C%80%ED%95%9C_%EC%97%B0%EA%B5%AC">단어 내부의 의미 관계에 대한 연구</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">A Study on Semantic Relations within Words Lee, MinWoo This study asserts that meaning is not fixed or possessing overall integration conceptually according to contextual perspective, but rather dynamic and ever-changing. Also, it... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_28167173" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">A Study on Semantic Relations within Words<br /><br />Lee, MinWoo<br /><br />This study asserts that meaning is not fixed or possessing overall integration conceptually according to contextual perspective, but rather dynamic and ever-changing. Also, it asserts that basic meaning and expanded meaning, meaning and significance, and variable meanings which occur in various layers below are all actually equal meanings and that those meanings are interpreted by various relationships within words. It also attributed meaning in itself to semantic relationships established around lexical relationships and observed with what methods these were understood. Vocabulary is acquired through the integration of specific meanings and various meanings related to characteristics of vocabulary in itself and in that, various meanings form and change. This signifies that meanings form various meanings as they combine with other meanings in larger frames that extend into phrases, paragraphs, sentences, and discourses. Therefore, vocabulary in itself can become the assembly of meanings that can be interpreted diversely. As the meanings of words can be defined as a collective concept that is regulated by specific ranges within networks formed by related meanings, polysemy places meaning into the network of relationships formed by the concepts of one word. Word concepts exist as the assembly of meanings that can be interpreted in various ways. Within this, meaning is tangled like a complicated net. Therefore, studies on polysemy are an observation of relationships between meanings and they become operations that reveal the structure of meaning. Moving the meaning of vocabulary into a conceptual dimension is the same as moving the entire world into one word. This states that lexical meaning cannot be limited and therefore, we must focus on investigating relationships between concepts that are connected with vocabulary in order for us to know lexical meaning. <br /><br />Key Words: Semantic Relations within Word, Words Meaning, Contextual Perspective, Polysemy</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/28167173" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="defb1de83dce18ce9e6744c670dd6535" rel="nofollow" data-download="{"attachment_id":48482587,"asset_id":28167173,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/48482587/download_file?st=MTczMzI1OTQyNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="10283341" href="https://independent.academia.edu/MinWooLee6">MinWoo Lee</a><script data-card-contents-for-user="10283341" type="text/json">{"id":10283341,"first_name":"MinWoo","last_name":"Lee","domain_name":"independent","page_name":"MinWooLee6","display_name":"MinWoo Lee","profile_url":"https://independent.academia.edu/MinWooLee6?f_ri=48624","photo":"https://0.academia-photos.com/10283341/3146055/32700352/s65_minwoo.lee.jpg"}</script></span></span></li><li class="js-paper-rank-work_28167173 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="28167173"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 28167173, container: ".js-paper-rank-work_28167173", }); 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$(".js-view-count[data-work-id=28167173]").text(description); $(".js-view-count-work_28167173").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_28167173").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="28167173"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="13769" href="https://www.academia.edu/Documents/in/Lexical_Semantics">Lexical Semantics</a>, <script data-card-contents-for-ri="13769" type="text/json">{"id":13769,"name":"Lexical Semantics","url":"https://www.academia.edu/Documents/in/Lexical_Semantics?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="48624" href="https://www.academia.edu/Documents/in/Semantic_relations">Semantic relations</a>, <script data-card-contents-for-ri="48624" type="text/json">{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="276784" href="https://www.academia.edu/Documents/in/Words_and_Meanings">Words and Meanings</a><script data-card-contents-for-ri="276784" type="text/json">{"id":276784,"name":"Words and Meanings","url":"https://www.academia.edu/Documents/in/Words_and_Meanings?f_ri=48624","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=28167173]'), work: {"id":28167173,"title":"단어 내부의 의미 관계에 대한 연구","created_at":"2016-08-31T22:23:37.446-07:00","url":"https://www.academia.edu/28167173/%EB%8B%A8%EC%96%B4_%EB%82%B4%EB%B6%80%EC%9D%98_%EC%9D%98%EB%AF%B8_%EA%B4%80%EA%B3%84%EC%97%90_%EB%8C%80%ED%95%9C_%EC%97%B0%EA%B5%AC?f_ri=48624","dom_id":"work_28167173","summary":"A Study on Semantic Relations within Words\n\nLee, MinWoo\n\nThis study asserts that meaning is not fixed or possessing overall integration conceptually according to contextual perspective, but rather dynamic and ever-changing. Also, it asserts that basic meaning and expanded meaning, meaning and significance, and variable meanings which occur in various layers below are all actually equal meanings and that those meanings are interpreted by various relationships within words. It also attributed meaning in itself to semantic relationships established around lexical relationships and observed with what methods these were understood. Vocabulary is acquired through the integration of specific meanings and various meanings related to characteristics of vocabulary in itself and in that, various meanings form and change. This signifies that meanings form various meanings as they combine with other meanings in larger frames that extend into phrases, paragraphs, sentences, and discourses. Therefore, vocabulary in itself can become the assembly of meanings that can be interpreted diversely. As the meanings of words can be defined as a collective concept that is regulated by specific ranges within networks formed by related meanings, polysemy places meaning into the network of relationships formed by the concepts of one word. Word concepts exist as the assembly of meanings that can be interpreted in various ways. Within this, meaning is tangled like a complicated net. Therefore, studies on polysemy are an observation of relationships between meanings and they become operations that reveal the structure of meaning. Moving the meaning of vocabulary into a conceptual dimension is the same as moving the entire world into one word. This states that lexical meaning cannot be limited and therefore, we must focus on investigating relationships between concepts that are connected with vocabulary in order for us to know lexical meaning. \n\nKey Words: Semantic Relations within Word, Words Meaning, Contextual Perspective, Polysemy","downloadable_attachments":[{"id":48482587,"asset_id":28167173,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":10283341,"first_name":"MinWoo","last_name":"Lee","domain_name":"independent","page_name":"MinWooLee6","display_name":"MinWoo Lee","profile_url":"https://independent.academia.edu/MinWooLee6?f_ri=48624","photo":"https://0.academia-photos.com/10283341/3146055/32700352/s65_minwoo.lee.jpg"}],"research_interests":[{"id":13769,"name":"Lexical Semantics","url":"https://www.academia.edu/Documents/in/Lexical_Semantics?f_ri=48624","nofollow":false},{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false},{"id":276784,"name":"Words and Meanings","url":"https://www.academia.edu/Documents/in/Words_and_Meanings?f_ri=48624","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_904445" data-work_id="904445" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/904445/Object_oriented_database_management_systems_concepts_and_issues">Object-oriented database management systems: concepts and issues</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/904445" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="fcdfb6f7f5b5b4e27f85663e6f5b46c3" rel="nofollow" data-download="{"attachment_id":51172145,"asset_id":904445,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51172145/download_file?st=MTczMzI1OTQyNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8754" href="https://purdue.academia.edu/ElisaBertino">Elisa Bertino</a><script data-card-contents-for-user="8754" type="text/json">{"id":8754,"first_name":"Elisa","last_name":"Bertino","domain_name":"purdue","page_name":"ElisaBertino","display_name":"Elisa Bertino","profile_url":"https://purdue.academia.edu/ElisaBertino?f_ri=48624","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_904445 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="904445"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 904445, container: ".js-paper-rank-work_904445", }); });</script></li><li class="js-percentile-work_904445 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 904445; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_904445"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_904445 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="904445"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 904445; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=904445]").text(description); $(".js-view-count-work_904445").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_904445").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="904445"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">16</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="2482" href="https://www.academia.edu/Documents/in/Database_Systems">Database Systems</a>, <script data-card-contents-for-ri="2482" type="text/json">{"id":2482,"name":"Database Systems","url":"https://www.academia.edu/Documents/in/Database_Systems?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="7055" href="https://www.academia.edu/Documents/in/Technology_Management">Technology Management</a>, <script data-card-contents-for-ri="7055" type="text/json">{"id":7055,"name":"Technology Management","url":"https://www.academia.edu/Documents/in/Technology_Management?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="8131" href="https://www.academia.edu/Documents/in/Data_Management">Data Management</a>, <script data-card-contents-for-ri="8131" type="text/json">{"id":8131,"name":"Data Management","url":"https://www.academia.edu/Documents/in/Data_Management?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="48624" href="https://www.academia.edu/Documents/in/Semantic_relations">Semantic relations</a><script data-card-contents-for-ri="48624" type="text/json">{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=904445]'), work: {"id":904445,"title":"Object-oriented database management systems: concepts and issues","created_at":"2011-09-11T00:21:08.877-07:00","url":"https://www.academia.edu/904445/Object_oriented_database_management_systems_concepts_and_issues?f_ri=48624","dom_id":"work_904445","summary":null,"downloadable_attachments":[{"id":51172145,"asset_id":904445,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":8754,"first_name":"Elisa","last_name":"Bertino","domain_name":"purdue","page_name":"ElisaBertino","display_name":"Elisa Bertino","profile_url":"https://purdue.academia.edu/ElisaBertino?f_ri=48624","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2482,"name":"Database 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In this paper, we are presenting our work towards building a depen-dency parser for Sanskrit language that uses deterministic finite automata(DFA) for morphological analysis and &#x27;utsarga apavaada&#x27; approach for relation... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_13835207" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Abstract. In this paper, we are presenting our work towards building a depen-dency parser for Sanskrit language that uses deterministic finite automata(DFA) for morphological analysis and &#x27;utsarga apavaada&#x27; approach for relation analysis. 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class="InlineList-item-text" data-has-card-for-ri="175298" href="https://www.academia.edu/Documents/in/Lexical_relations">Lexical relations</a>, <script data-card-contents-for-ri="175298" type="text/json">{"id":175298,"name":"Lexical relations","url":"https://www.academia.edu/Documents/in/Lexical_relations?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="703330" href="https://www.academia.edu/Documents/in/Synonymy">Synonymy</a><script data-card-contents-for-ri="703330" type="text/json">{"id":703330,"name":"Synonymy","url":"https://www.academia.edu/Documents/in/Synonymy?f_ri=48624","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=4054104]'), work: {"id":4054104,"title":"Linguistic characterization of parasynonymy: Its analogies and differences with other lexical relationships/Caracterización lingüística de la parasinonimia: sus analogías y diferencias con otras relaciones léxicas","created_at":"2013-07-17T20:15:07.063-07:00","url":"https://www.academia.edu/4054104/Linguistic_characterization_of_parasynonymy_Its_analogies_and_differences_with_other_lexical_relationships_Caracterizaci%C3%B3n_ling%C3%BC%C3%ADstica_de_la_parasinonimia_sus_analog%C3%ADas_y_diferencias_con_otras_relaciones_l%C3%A9xicas?f_ri=48624","dom_id":"work_4054104","summary":null,"downloadable_attachments":[{"id":33803920,"asset_id":4054104,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":4878713,"first_name":"Ana Isabel","last_name":"Rodríguez-Piñero Alcalá","domain_name":"uca-es","page_name":"AnaIsabelRodriguezPinero","display_name":"Ana Isabel Rodríguez-Piñero Alcalá","profile_url":"https://uca-es.academia.edu/AnaIsabelRodriguezPinero?f_ri=48624","photo":"https://0.academia-photos.com/4878713/2093239/20618502/s65_ana_isabel.rodr_guez-pi_ero_alcal_.jpg"}],"research_interests":[{"id":13769,"name":"Lexical Semantics","url":"https://www.academia.edu/Documents/in/Lexical_Semantics?f_ri=48624","nofollow":false},{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false},{"id":175298,"name":"Lexical relations","url":"https://www.academia.edu/Documents/in/Lexical_relations?f_ri=48624","nofollow":false},{"id":703330,"name":"Synonymy","url":"https://www.academia.edu/Documents/in/Synonymy?f_ri=48624","nofollow":false},{"id":902742,"name":"Parasynonymy","url":"https://www.academia.edu/Documents/in/Parasynonymy?f_ri=48624"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_8241030" data-work_id="8241030" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/8241030/Developing_Verb_Frames_for_Hindi">Developing Verb Frames for Hindi</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/8241030" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="3ef662659d6a81c1dfeb649450d93cb5" rel="nofollow" data-download="{"attachment_id":34663047,"asset_id":8241030,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" 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Structure","url":"https://www.academia.edu/Documents/in/Argument_Structure?f_ri=48624","nofollow":false},{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false},{"id":246163,"name":"Knowledge base","url":"https://www.academia.edu/Documents/in/Knowledge_base?f_ri=48624","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_43060879" data-work_id="43060879" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/43060879/Extraction_of_Hyponymic_Relations_in_French_with_Knowledge_Pattern_Based_Word_Sketches">Extraction of Hyponymic Relations in French with Knowledge-Pattern-Based Word Sketches</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Hyponymy is the cornerstone of taxonomies and concept hierarchies. However, the extraction of hypernym-hyponym pairs from a corpus can be time-consuming, and reconstructing the hierarchical network of a domain is often an extremely... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_43060879" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Hyponymy is the cornerstone of taxonomies and concept hierarchies. However, the extraction of hypernym-hyponym pairs from a corpus can be time-consuming, and reconstructing the hierarchical network of a domain is often an extremely complex process. This paper presents the development and evaluation of the French EcoLexicon Semantic Sketch Grammar (ESSG-fr), a French hyponymic sketch grammar for Sketch Engine based on knowledge patterns. It offers a user-friendly way of extracting hyponymic pairs in the form of word sketches in any user-owned corpus. The ESSG-fr contains three times more hyponymic patterns than its English counterpart and has been tested in a multidisciplinary corpus. It is thus expected to be domain-independent. Moreover, the following methodological innovations have been included in its development: (1) use of English hyponymic patterns in a parallel corpus to find new French patterns; (2) automatic inclusion of the results of the Sketch Engine thesaurus to find new variants of the patterns. As for its evaluation, the ESSG-fr returns 70% valid hyperonyms and hyponyms, measured on 180 extracted pairs of terms in three different domains.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/43060879" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="3345961479608abd79d60ad639ffca81" rel="nofollow" data-download="{"attachment_id":63320523,"asset_id":43060879,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/63320523/download_file?st=MTczMzI1OTQyNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="530836" href="https://uqtr.academia.edu/AntonioSanMartin">Antonio San Martín</a><script data-card-contents-for-user="530836" type="text/json">{"id":530836,"first_name":"Antonio","last_name":"San Martín","domain_name":"uqtr","page_name":"AntonioSanMartin","display_name":"Antonio San Martín","profile_url":"https://uqtr.academia.edu/AntonioSanMartin?f_ri=48624","photo":"https://0.academia-photos.com/530836/188786/61517790/s65_antonio.san_mart_n.jpg"}</script></span></span></li><li class="js-paper-rank-work_43060879 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="43060879"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 43060879, container: ".js-paper-rank-work_43060879", }); 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$(".js-view-count[data-work-id=43060879]").text(description); $(".js-view-count-work_43060879").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_43060879").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="43060879"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">10</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="5832" href="https://www.academia.edu/Documents/in/Terminology">Terminology</a>, <script data-card-contents-for-ri="5832" type="text/json">{"id":5832,"name":"Terminology","url":"https://www.academia.edu/Documents/in/Terminology?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="8996" href="https://www.academia.edu/Documents/in/French_linguistics">French linguistics</a>, <script data-card-contents-for-ri="8996" type="text/json">{"id":8996,"name":"French linguistics","url":"https://www.academia.edu/Documents/in/French_linguistics?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="10157" href="https://www.academia.edu/Documents/in/Corpus_Linguistics">Corpus Linguistics</a>, <script data-card-contents-for-ri="10157" type="text/json">{"id":10157,"name":"Corpus Linguistics","url":"https://www.academia.edu/Documents/in/Corpus_Linguistics?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="48624" href="https://www.academia.edu/Documents/in/Semantic_relations">Semantic relations</a><script data-card-contents-for-ri="48624" type="text/json">{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=43060879]'), work: {"id":43060879,"title":"Extraction of Hyponymic Relations in French with Knowledge-Pattern-Based Word Sketches","created_at":"2020-05-15T07:40:21.962-07:00","url":"https://www.academia.edu/43060879/Extraction_of_Hyponymic_Relations_in_French_with_Knowledge_Pattern_Based_Word_Sketches?f_ri=48624","dom_id":"work_43060879","summary":"Hyponymy is the cornerstone of taxonomies and concept hierarchies. However, the extraction of hypernym-hyponym pairs from a corpus can be time-consuming, and reconstructing the hierarchical network of a domain is often an extremely complex process. This paper presents the development and evaluation of the French EcoLexicon Semantic Sketch Grammar (ESSG-fr), a French hyponymic sketch grammar for Sketch Engine based on knowledge patterns. It offers a user-friendly way of extracting hyponymic pairs in the form of word sketches in any user-owned corpus. The ESSG-fr contains three times more hyponymic patterns than its English counterpart and has been tested in a multidisciplinary corpus. It is thus expected to be domain-independent. Moreover, the following methodological innovations have been included in its development: (1) use of English hyponymic patterns in a parallel corpus to find new French patterns; (2) automatic inclusion of the results of the Sketch Engine thesaurus to find new variants of the patterns. As for its evaluation, the ESSG-fr returns 70% valid hyperonyms and hyponyms, measured on 180 extracted pairs of terms in three different domains.","downloadable_attachments":[{"id":63320523,"asset_id":43060879,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":530836,"first_name":"Antonio","last_name":"San Martín","domain_name":"uqtr","page_name":"AntonioSanMartin","display_name":"Antonio San Martín","profile_url":"https://uqtr.academia.edu/AntonioSanMartin?f_ri=48624","photo":"https://0.academia-photos.com/530836/188786/61517790/s65_antonio.san_mart_n.jpg"}],"research_interests":[{"id":5832,"name":"Terminology","url":"https://www.academia.edu/Documents/in/Terminology?f_ri=48624","nofollow":false},{"id":8996,"name":"French linguistics","url":"https://www.academia.edu/Documents/in/French_linguistics?f_ri=48624","nofollow":false},{"id":10157,"name":"Corpus Linguistics","url":"https://www.academia.edu/Documents/in/Corpus_Linguistics?f_ri=48624","nofollow":false},{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false},{"id":87608,"name":"Semantic Relation","url":"https://www.academia.edu/Documents/in/Semantic_Relation?f_ri=48624"},{"id":266442,"name":"Hyperonyme and Hyponyme","url":"https://www.academia.edu/Documents/in/Hyperonyme_and_Hyponyme?f_ri=48624"},{"id":552705,"name":"EcoLexicon","url":"https://www.academia.edu/Documents/in/EcoLexicon?f_ri=48624"},{"id":1081408,"name":"Frame-Based Terminology","url":"https://www.academia.edu/Documents/in/Frame-Based_Terminology?f_ri=48624"},{"id":1462822,"name":"Sketch Engine","url":"https://www.academia.edu/Documents/in/Sketch_Engine?f_ri=48624"},{"id":2069780,"name":"Word Sketch","url":"https://www.academia.edu/Documents/in/Word_Sketch?f_ri=48624"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_38184155" data-work_id="38184155" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/38184155/Relacje_semantyczne_w_WSJP_PAN">Relacje semantyczne w WSJP PAN</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">The article presents the methodological concept of the field "Semantic Relations" and its content in the Polish Academy of Sciences Great Dictionary of Polish.</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/38184155" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="1694f4a56b98eb29eeeb751801edd10d" rel="nofollow" data-download="{"attachment_id":58221033,"asset_id":38184155,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/58221033/download_file?st=MTczMzI1OTQyNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="15514419" href="https://pan-pl.academia.edu/AnnaCzelakowska">Anna Czelakowska</a><script data-card-contents-for-user="15514419" type="text/json">{"id":15514419,"first_name":"Anna","last_name":"Czelakowska","domain_name":"pan-pl","page_name":"AnnaCzelakowska","display_name":"Anna Czelakowska","profile_url":"https://pan-pl.academia.edu/AnnaCzelakowska?f_ri=48624","photo":"https://0.academia-photos.com/15514419/4187870/127319829/s65_anna.czelakowska.jpg"}</script></span></span></li><li class="js-paper-rank-work_38184155 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="38184155"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 38184155, container: ".js-paper-rank-work_38184155", }); });</script></li><li class="js-percentile-work_38184155 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 38184155; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_38184155"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_38184155 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="38184155"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 38184155; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=38184155]").text(description); $(".js-view-count-work_38184155").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_38184155").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="38184155"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="48624" href="https://www.academia.edu/Documents/in/Semantic_relations">Semantic relations</a>, <script data-card-contents-for-ri="48624" type="text/json">{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="74810" href="https://www.academia.edu/Documents/in/Dictionary">Dictionary</a>, <script data-card-contents-for-ri="74810" type="text/json">{"id":74810,"name":"Dictionary","url":"https://www.academia.edu/Documents/in/Dictionary?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="249466" href="https://www.academia.edu/Documents/in/Dictionaries">Dictionaries</a>, <script data-card-contents-for-ri="249466" type="text/json">{"id":249466,"name":"Dictionaries","url":"https://www.academia.edu/Documents/in/Dictionaries?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="703330" href="https://www.academia.edu/Documents/in/Synonymy">Synonymy</a><script data-card-contents-for-ri="703330" type="text/json">{"id":703330,"name":"Synonymy","url":"https://www.academia.edu/Documents/in/Synonymy?f_ri=48624","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=38184155]'), work: {"id":38184155,"title":"Relacje semantyczne w WSJP PAN","created_at":"2019-01-20T06:09:20.301-08:00","url":"https://www.academia.edu/38184155/Relacje_semantyczne_w_WSJP_PAN?f_ri=48624","dom_id":"work_38184155","summary":"The article presents the methodological concept of the field \"Semantic Relations\" and its content in the Polish Academy of Sciences Great Dictionary of Polish.","downloadable_attachments":[{"id":58221033,"asset_id":38184155,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":15514419,"first_name":"Anna","last_name":"Czelakowska","domain_name":"pan-pl","page_name":"AnnaCzelakowska","display_name":"Anna Czelakowska","profile_url":"https://pan-pl.academia.edu/AnnaCzelakowska?f_ri=48624","photo":"https://0.academia-photos.com/15514419/4187870/127319829/s65_anna.czelakowska.jpg"}],"research_interests":[{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false},{"id":74810,"name":"Dictionary","url":"https://www.academia.edu/Documents/in/Dictionary?f_ri=48624","nofollow":false},{"id":249466,"name":"Dictionaries","url":"https://www.academia.edu/Documents/in/Dictionaries?f_ri=48624","nofollow":false},{"id":703330,"name":"Synonymy","url":"https://www.academia.edu/Documents/in/Synonymy?f_ri=48624","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_1949731" data-work_id="1949731" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/1949731/Folheador_browsing_through_Portuguese_semantic_relations">Folheador: browsing through Portuguese semantic relations</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper presents Folheador, an online service for browsing through Portuguese semantic relations, acquired from different sources. Besides facilitating the exploration of Portuguese lexical knowledge bases, Folheador is connected to... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_1949731" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper presents Folheador, an online service for browsing through Portuguese semantic relations, acquired from different sources. Besides facilitating the exploration of Portuguese lexical knowledge bases, Folheador is connected to services that access Portuguese corpora, which provide authentic examples of the semantic relations in context.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/1949731" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="7e4e7e0f6f71567e9a54de57d6d317c5" rel="nofollow" data-download="{"attachment_id":28161186,"asset_id":1949731,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/28161186/download_file?st=MTczMzI1OTQyNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2533135" href="https://uma.academia.edu/hpcosta">Hernani Costa</a><script data-card-contents-for-user="2533135" type="text/json">{"id":2533135,"first_name":"Hernani","last_name":"Costa","domain_name":"uma","page_name":"hpcosta","display_name":"Hernani Costa","profile_url":"https://uma.academia.edu/hpcosta?f_ri=48624","photo":"https://0.academia-photos.com/2533135/789155/4895304/s65_hernani.costa.jpg"}</script></span></span></li><li class="js-paper-rank-work_1949731 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1949731"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1949731, container: ".js-paper-rank-work_1949731", }); });</script></li><li class="js-percentile-work_1949731 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1949731; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_1949731"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_1949731 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="1949731"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1949731; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1949731]").text(description); $(".js-view-count-work_1949731").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_1949731").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="1949731"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="1432" href="https://www.academia.edu/Documents/in/Natural_Language_Processing">Natural Language Processing</a>, <script data-card-contents-for-ri="1432" type="text/json">{"id":1432,"name":"Natural Language Processing","url":"https://www.academia.edu/Documents/in/Natural_Language_Processing?f_ri=48624","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="48624" href="https://www.academia.edu/Documents/in/Semantic_relations">Semantic relations</a><script data-card-contents-for-ri="48624" type="text/json">{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=1949731]'), work: {"id":1949731,"title":"Folheador: browsing through Portuguese semantic relations","created_at":"2012-09-19T05:45:31.563-07:00","url":"https://www.academia.edu/1949731/Folheador_browsing_through_Portuguese_semantic_relations?f_ri=48624","dom_id":"work_1949731","summary":"This paper presents Folheador, an online service for browsing through Portuguese semantic relations, acquired from different sources. Besides facilitating the exploration of Portuguese lexical knowledge bases, Folheador is connected to services that access Portuguese corpora, which provide authentic examples of the semantic relations in context.","downloadable_attachments":[{"id":28161186,"asset_id":1949731,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2533135,"first_name":"Hernani","last_name":"Costa","domain_name":"uma","page_name":"hpcosta","display_name":"Hernani Costa","profile_url":"https://uma.academia.edu/hpcosta?f_ri=48624","photo":"https://0.academia-photos.com/2533135/789155/4895304/s65_hernani.costa.jpg"}],"research_interests":[{"id":1432,"name":"Natural Language Processing","url":"https://www.academia.edu/Documents/in/Natural_Language_Processing?f_ri=48624","nofollow":false},{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_10660906" data-work_id="10660906" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/10660906/Identifying_the_Semantic_Relations_Used_in_the_Poem_Song_Of_The_Rain_By_Khalil_Gibran">Identifying the Semantic Relations Used in the Poem: "Song Of The Rain" By Khalil Gibran</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Identifying the semantic relations used in the poem of Khalil Gibran. 　　The semantic relations used in the poem “Song of the Rain” by Khalil Gibran are Antonymy, Synonymy and Polysemy. The purpose of this study is to determine and to... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_10660906" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Identifying the semantic relations used in the poem of Khalil Gibran. 　　The semantic relations used in the poem “Song of the Rain” by Khalil Gibran are Antonymy, Synonymy and Polysemy. The purpose of this study is to determine and to understand the synonymous, antonymous and polysemous words used in the poem. Also, through identifying the semantics of the poem, the reader may understand the meaning of the poem.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/10660906" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="e563a3fd2e229b6c65d400dae86cb800" rel="nofollow" data-download="{"attachment_id":36579423,"asset_id":10660906,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/36579423/download_file?st=MTczMzI1OTQyNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="25106178" href="https://usep.academia.edu/ShammieAdeser">Shammie Adeser</a><script data-card-contents-for-user="25106178" type="text/json">{"id":25106178,"first_name":"Shammie","last_name":"Adeser","domain_name":"usep","page_name":"ShammieAdeser","display_name":"Shammie Adeser","profile_url":"https://usep.academia.edu/ShammieAdeser?f_ri=48624","photo":"https://0.academia-photos.com/25106178/6824904/7703756/s65_shammie.adeser.jpg_oh_ce4612dab1564e5e061e00a78182f955_oe_553233b6___gda___1432614923_0a7f5c274f2f5e8910fb6efbe4efee8b"}</script></span></span></li><li class="js-paper-rank-work_10660906 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="10660906"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 10660906, container: ".js-paper-rank-work_10660906", }); 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The purpose of this study is to determine and to understand the synonymous, antonymous and polysemous words used in the poem. Also, through identifying the semantics of the poem, the reader may understand the meaning of the poem.","downloadable_attachments":[{"id":36579423,"asset_id":10660906,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":25106178,"first_name":"Shammie","last_name":"Adeser","domain_name":"usep","page_name":"ShammieAdeser","display_name":"Shammie Adeser","profile_url":"https://usep.academia.edu/ShammieAdeser?f_ri=48624","photo":"https://0.academia-photos.com/25106178/6824904/7703756/s65_shammie.adeser.jpg_oh_ce4612dab1564e5e061e00a78182f955_oe_553233b6___gda___1432614923_0a7f5c274f2f5e8910fb6efbe4efee8b"}],"research_interests":[{"id":2349,"name":"Semantics","url":"https://www.academia.edu/Documents/in/Semantics?f_ri=48624","nofollow":false},{"id":15674,"name":"Linguistics","url":"https://www.academia.edu/Documents/in/Linguistics?f_ri=48624","nofollow":false},{"id":48624,"name":"Semantic 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InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="41332409" href="https://icrea.academia.edu/AlbertCosta">Albert Costa</a><script data-card-contents-for-user="41332409" type="text/json">{"id":41332409,"first_name":"Albert","last_name":"Costa","domain_name":"icrea","page_name":"AlbertCosta","display_name":"Albert Costa","profile_url":"https://icrea.academia.edu/AlbertCosta?f_ri=48624","photo":"https://0.academia-photos.com/41332409/11214374/12512953/s65_albert.costa.jpg"}</script></span></span></li><li class="js-paper-rank-work_20187077 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="20187077"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 20187077, container: 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Costa","profile_url":"https://icrea.academia.edu/AlbertCosta?f_ri=48624","photo":"https://0.academia-photos.com/41332409/11214374/12512953/s65_albert.costa.jpg"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=48624","nofollow":false},{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science?f_ri=48624","nofollow":false},{"id":8054,"name":"Speech Production","url":"https://www.academia.edu/Documents/in/Speech_Production?f_ri=48624","nofollow":false},{"id":20489,"name":"Phonological processing","url":"https://www.academia.edu/Documents/in/Phonological_processing?f_ri=48624","nofollow":false},{"id":46858,"name":"Memory","url":"https://www.academia.edu/Documents/in/Memory?f_ri=48624"},{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624"},{"id":171307,"name":"Lexical access","url":"https://www.academia.edu/Documents/in/Lexical_access?f_ri=48624"},{"id":412086,"name":"Language and Memory","url":"https://www.academia.edu/Documents/in/Language_and_Memory?f_ri=48624"},{"id":2009394,"name":"Target Language","url":"https://www.academia.edu/Documents/in/Target_Language?f_ri=48624"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_11606783" data-work_id="11606783" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/11606783/From_Semantic_Relations_to_Karaka_Relations">From Semantic Relations to Karaka Relations</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In the field of NLP and corpus-linguistics, annotated corpus plays an important role. We aim to develop a corpus annotated with karaka relations. This karaka annotated corpus can, then, be used as a training corpus for automatic karaka... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_11606783" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In the field of NLP and corpus-linguistics, annotated corpus plays an important role. We aim to develop a corpus annotated with karaka relations. This karaka annotated corpus can, then, be used as a training corpus for automatic karaka labeling. For this purpose, as a first step, we plan to map FrameNet corpus annotated with semantic roles to karaka roles. By doing this, we will be able to capture the maximum information related to a verb. In this paper, we present our methodology including algorithm to implement our proposal. This paper discusses the issues that arise when the innumerable semantic relations are mapped to around six karaka relations. We have tried to formulate rules to solve the said problem.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/11606783" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="6ea39bcc3bec2439a0aae03e138c9b1b" rel="nofollow" data-download="{"attachment_id":37082314,"asset_id":11606783,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/37082314/download_file?st=MTczMzI1OTQyNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="3194574" href="https://iiit.academia.edu/RadhikaMamidi">Radhika Mamidi</a><script data-card-contents-for-user="3194574" type="text/json">{"id":3194574,"first_name":"Radhika","last_name":"Mamidi","domain_name":"iiit","page_name":"RadhikaMamidi","display_name":"Radhika Mamidi","profile_url":"https://iiit.academia.edu/RadhikaMamidi?f_ri=48624","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_11606783 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="11606783"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 11606783, container: ".js-paper-rank-work_11606783", }); });</script></li><li class="js-percentile-work_11606783 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 11606783; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_11606783"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_11606783 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="11606783"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11606783; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=11606783]").text(description); $(".js-view-count-work_11606783").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_11606783").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="11606783"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="48624" href="https://www.academia.edu/Documents/in/Semantic_relations">Semantic relations</a><script data-card-contents-for-ri="48624" type="text/json">{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=11606783]'), work: {"id":11606783,"title":"From Semantic Relations to Karaka Relations","created_at":"2015-03-23T06:45:55.932-07:00","url":"https://www.academia.edu/11606783/From_Semantic_Relations_to_Karaka_Relations?f_ri=48624","dom_id":"work_11606783","summary":"In the field of NLP and corpus-linguistics, annotated corpus plays an important role. We aim to develop a corpus annotated with karaka relations. This karaka annotated corpus can, then, be used as a training corpus for automatic karaka labeling. For this purpose, as a first step, we plan to map FrameNet corpus annotated with semantic roles to karaka roles. By doing this, we will be able to capture the maximum information related to a verb. In this paper, we present our methodology including algorithm to implement our proposal. This paper discusses the issues that arise when the innumerable semantic relations are mapped to around six karaka relations. We have tried to formulate rules to solve the said problem.","downloadable_attachments":[{"id":37082314,"asset_id":11606783,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":3194574,"first_name":"Radhika","last_name":"Mamidi","domain_name":"iiit","page_name":"RadhikaMamidi","display_name":"Radhika Mamidi","profile_url":"https://iiit.academia.edu/RadhikaMamidi?f_ri=48624","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_12924587 coauthored" data-work_id="12924587" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" 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Güngör","profile_url":"https://boun.academia.edu/OnurG%C3%BCng%C3%B6r?f_ri=48624","photo":"https://0.academia-photos.com/53116/15972/14904/s65_onur.g_ng_r.jpg"}],"research_interests":[{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false},{"id":1216932,"name":"Rule Based","url":"https://www.academia.edu/Documents/in/Rule_Based?f_ri=48624","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_37405258 coauthored" data-work_id="37405258" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/37405258/The_meaning_link_in_nominal_compounds">The meaning link in nominal compounds</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper considers the meaning relationships holding between the elements of endocentric nominal compounds in English, and argues that the same relationships are found in a number of different constructions in which a noun is modified... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_37405258" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper considers the meaning relationships holding between the elements of endocentric nominal compounds in English, and argues that the same relationships are found in a number of different constructions in which a noun is modified by another noun. That being the case, the relationships are not specific to compounding, and must arise from the nature of the modification. It may thus be that the relationships could be captured by a single relationship which is suitably underspecified. Evidence against such a position is also considered, and a solution is proposed which allows the benefits of both a single relationship and multiple relationships to be captured.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/37405258" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="f3fb3bf7fa67fba0d220ac62871fc644" rel="nofollow" data-download="{"attachment_id":57369133,"asset_id":37405258,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/57369133/download_file?st=MTczMzI1OTQyNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="57414035" href="https://independent.academia.edu/TarasovaElizaveta">Elizaveta Tarasova</a><script data-card-contents-for-user="57414035" type="text/json">{"id":57414035,"first_name":"Elizaveta","last_name":"Tarasova","domain_name":"independent","page_name":"TarasovaElizaveta","display_name":"Elizaveta Tarasova","profile_url":"https://independent.academia.edu/TarasovaElizaveta?f_ri=48624","photo":"https://0.academia-photos.com/57414035/20074968/19839325/s65_elizaveta.tarasova.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-37405258">+1</span><div class="hidden js-additional-users-37405258"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/ETarasova">Elizaveta Tarasova</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-37405258'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-37405258').html(); 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Broad range of methods have been proposed to construct semantic dictionaries until this time. In this study, a brief summary for semantic relation pair... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_32899491" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Semantic dictionaries are widely used in natural language processing studies. Broad range of methods have been proposed to construct semantic dictionaries until this time. In this study, a brief summary for semantic relation pair extraction is introduced. An overview of selected approaches is given and results are compared to each other for hyponymy, holonymy, and antonymy relations.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/32899491" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="942ac4173b36361636e7f434e644b585" rel="nofollow" data-download="{"attachment_id":53038471,"asset_id":32899491,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/53038471/download_file?st=MTczMzI1OTQyNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="16047958" href="https://independent.academia.edu/NaturalLanguageProcessing">International Journal on Natural Language Computing (IJNLC)</a><script data-card-contents-for-user="16047958" type="text/json">{"id":16047958,"first_name":"International Journal on Natural Language Computing","last_name":"(IJNLC)","domain_name":"independent","page_name":"NaturalLanguageProcessing","display_name":"International Journal on Natural Language Computing (IJNLC)","profile_url":"https://independent.academia.edu/NaturalLanguageProcessing?f_ri=48624","photo":"https://0.academia-photos.com/16047958/4353676/143253724/s65_international_journal_on_natural_language_computing._ijnlc_.png"}</script></span></span></li><li class="js-paper-rank-work_32899491 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="32899491"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 32899491, container: ".js-paper-rank-work_32899491", }); 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})();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_31445941" data-work_id="31445941" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/31445941/S%C3%B6zl%C3%BCk_Tan%C4%B1mlamalar%C4%B1nda_Kavramlar_Aras%C4%B1_%C4%B0li%C5%9Fkilendirmede_G%C3%B6rev_Alan_S%C3%B6zc%C3%BCkler_Fiilimsiler_A_Study_on_The_Words_That_Provide_The_Relationships_Between_The_Concepts_in_The_Definitions_Verbals_Bayram_%C3%87ET%C4%B0NKAYA">Sözlük Tanımlamalarında Kavramlar Arası İlişkilendirmede Görev Alan Sözcükler (Fiilimsiler) A Study on The Words That Provide The Relationships Between The Concepts in The Definitions (Verbals) _ Bayram ÇETİNKAYA</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">When we look at the dictionary definition of the word it is usually seen that the definition consists of a name of the class and words describing the features that differ from other members in this class (Hartmann ve James 2002,36).... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_31445941" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">When we look at the dictionary definition of the word it is usually seen that the definition consists of a name of the class and words describing the features that differ from other members in this class (Hartmann ve James 2002,36). Additionally a definiendum is also described by using synonyms and antonyms, by giving place where it is used andgoal of use, by relating other concepts in the same group, string; by making use of it’s components and formation steps; by giving examples, etc.<br />In this study, we examined how the relationship was established between concepts while defining the lexical items and which verbals were used for es- tablishing these relations in the dictionaries. So a corpus that consists of seven dictionaries’ definitions was made. In these corpus we determined verbals that provide the relationships between the concepts.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/31445941" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="01a573a7bc757bbbb7618e910c455b96" rel="nofollow" data-download="{"attachment_id":51805490,"asset_id":31445941,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51805490/download_file?st=MTczMzI1OTQyNCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="856032" href="https://afyonkocatepe.academia.edu/bayce">Bayram Çetinkaya</a><script data-card-contents-for-user="856032" type="text/json">{"id":856032,"first_name":"Bayram","last_name":"Çetinkaya","domain_name":"afyonkocatepe","page_name":"bayce","display_name":"Bayram Çetinkaya","profile_url":"https://afyonkocatepe.academia.edu/bayce?f_ri=48624","photo":"https://0.academia-photos.com/856032/25902352/24558869/s65_bayram._etinkaya.jpg"}</script></span></span></li><li class="js-paper-rank-work_31445941 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="31445941"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 31445941, container: ".js-paper-rank-work_31445941", }); 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Additionally a definiendum is also described by using synonyms and antonyms, by giving place where it is used andgoal of use, by relating other concepts in the same group, string; by making use of it’s components and formation steps; by giving examples, etc.\nIn this study, we examined how the relationship was established between concepts while defining the lexical items and which verbals were used for es- tablishing these relations in the dictionaries. So a corpus that consists of seven dictionaries’ definitions was made. In these corpus we determined verbals that provide the relationships between the concepts.","downloadable_attachments":[{"id":51805490,"asset_id":31445941,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":856032,"first_name":"Bayram","last_name":"Çetinkaya","domain_name":"afyonkocatepe","page_name":"bayce","display_name":"Bayram Çetinkaya","profile_url":"https://afyonkocatepe.academia.edu/bayce?f_ri=48624","photo":"https://0.academia-photos.com/856032/25902352/24558869/s65_bayram._etinkaya.jpg"}],"research_interests":[{"id":22285,"name":"Turkish Linguistics","url":"https://www.academia.edu/Documents/in/Turkish_Linguistics?f_ri=48624","nofollow":false},{"id":48624,"name":"Semantic relations","url":"https://www.academia.edu/Documents/in/Semantic_relations?f_ri=48624","nofollow":false},{"id":179800,"name":"Definition","url":"https://www.academia.edu/Documents/in/Definition?f_ri=48624","nofollow":false},{"id":502444,"name":"Sözlük","url":"https://www.academia.edu/Documents/in/Sozluk?f_ri=48624","nofollow":false},{"id":2639172,"name":"linking words","url":"https://www.academia.edu/Documents/in/linking_words?f_ri=48624"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_38026771" data-work_id="38026771" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/38026771/_The_approach_of_relation_element_theory_to_meronymy_Acta_Philologica_24_1997_1_22">“The approach of relation element theory to meronymy”. 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