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<div class="vector-body-before-content"> <div class="mw-indicators"> </div> <div id="siteSub" class="noprint">From Wikipedia, the free encyclopedia</div> </div> <div id="contentSub"><div id="mw-content-subtitle"></div></div> <div id="mw-content-text" class="mw-body-content"><div class="mw-content-ltr mw-parser-output" lang="en" dir="ltr"><div class="shortdescription nomobile noexcerpt noprint searchaux" style="display:none">Computer scientist</div> <style data-mw-deduplicate="TemplateStyles:r1257001546">.mw-parser-output .infobox-subbox{padding:0;border:none;margin:-3px;width:auto;min-width:100%;font-size:100%;clear:none;float:none;background-color:transparent}.mw-parser-output .infobox-3cols-child{margin:auto}.mw-parser-output .infobox .navbar{font-size:100%}@media screen{html.skin-theme-clientpref-night .mw-parser-output .infobox-full-data:not(.notheme)>div:not(.notheme)[style]{background:#1f1f23!important;color:#f8f9fa}}@media screen and (prefers-color-scheme:dark){html.skin-theme-clientpref-os .mw-parser-output .infobox-full-data:not(.notheme) div:not(.notheme){background:#1f1f23!important;color:#f8f9fa}}@media(min-width:640px){body.skin--responsive .mw-parser-output .infobox-table{display:table!important}body.skin--responsive .mw-parser-output .infobox-table>caption{display:table-caption!important}body.skin--responsive .mw-parser-output .infobox-table>tbody{display:table-row-group}body.skin--responsive .mw-parser-output .infobox-table tr{display:table-row!important}body.skin--responsive .mw-parser-output .infobox-table th,body.skin--responsive .mw-parser-output .infobox-table td{padding-left:inherit;padding-right:inherit}}</style><table class="infobox biography vcard"><tbody><tr><th colspan="2" class="infobox-above" style="font-size:125%;"><div class="fn">Heng Ji</div></th></tr><tr><th scope="row" class="infobox-label">Born</th><td class="infobox-data"><div style="display:inline" class="birthplace">China</div></td></tr><tr><th scope="row" class="infobox-label">Alma mater</th><td class="infobox-data"><a href="/wiki/New_York_University" title="New York University">New York University</a> (PhD and MSc in Computer Science) <br /> <a href="/wiki/Tsinghua_University" title="Tsinghua University">Tsinghua University</a> (M.A. and B.A. in Computational Linguistics)</td></tr><tr><th scope="row" class="infobox-label">Known for</th><td class="infobox-data"><a href="/wiki/Information_Extraction" class="mw-redirect" title="Information Extraction">Information Extraction</a> <br /> <a href="/wiki/Natural_Language_Processing" class="mw-redirect" title="Natural Language Processing">Natural Language Processing</a></td></tr><tr><td colspan="2" class="infobox-full-data"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1257001546" /><b>Scientific career</b></td></tr><tr><th scope="row" class="infobox-label">Fields</th><td class="infobox-data category"><a href="/wiki/Computer_Science" class="mw-redirect" title="Computer Science">Computer Science</a></td></tr><tr><th scope="row" class="infobox-label">Institutions</th><td class="infobox-data"><a href="/wiki/University_of_Illinois_at_Urbana-Champaign" class="mw-redirect" title="University of Illinois at Urbana-Champaign">University of Illinois at Urbana-Champaign</a> <br /> <a href="/wiki/Amazon_(company)" title="Amazon (company)">Amazon</a> <br /> <a href="/wiki/Rensselaer_Polytechnic_Institute" title="Rensselaer Polytechnic Institute">Rensselaer Polytechnic Institute</a> <br /> <a href="/wiki/City_University_of_New_York" title="City University of New York">City University of New York</a></td></tr><tr><th scope="row" class="infobox-label"><a href="/wiki/Thesis" title="Thesis">Thesis</a></th><td class="infobox-data"><i><a rel="nofollow" class="external text" href="https://nlp.cs.nyu.edu/publication/papers/Thesis_HengJi.pdf">Improving Information Extraction and Translation Using Component Interactions</a></i> <span style="font-size:97%;">(2008)</span></td></tr><tr><th scope="row" class="infobox-label"><a href="/wiki/Doctoral_advisor" title="Doctoral advisor">Doctoral advisor</a></th><td class="infobox-data"><a href="/w/index.php?title=Ralph_Grishman&action=edit&redlink=1" class="new" title="Ralph Grishman (page does not exist)">Ralph Grishman</a></td></tr><tr style="display:none"><td colspan="2"> </td></tr><tr><th scope="row" class="infobox-label">Website</th><td class="infobox-data"><a rel="nofollow" class="external text" href="http://blender.cs.illinois.edu/hengji.html">Personal website</a></td></tr></tbody></table> <p><b>Heng Ji</b> is a computer scientist who works on <a href="/wiki/Information_extraction" title="Information extraction">information extraction</a> and <a href="/wiki/Natural_language_processing" title="Natural language processing">natural language processing</a>. She is well known for her work on joined <a href="/wiki/Named_entity_recognition" class="mw-redirect" title="Named entity recognition">named entity recognition</a> and <a href="/wiki/Relation_extraction" class="mw-redirect" title="Relation extraction">relation extraction</a>,<sup id="cite_ref-joint_extraction_1-0" class="reference"><a href="#cite_note-joint_extraction-1"><span class="cite-bracket">[</span>1<span class="cite-bracket">]</span></a></sup> as well as for her work on cross-document event extraction.<sup id="cite_ref-event_extraction_2-0" class="reference"><a href="#cite_note-event_extraction-2"><span class="cite-bracket">[</span>2<span class="cite-bracket">]</span></a></sup> She has been coordinating the popular <a href="/wiki/NIST" class="mw-redirect" title="NIST">NIST</a> TAC <a href="/wiki/Knowledge_Base" class="mw-redirect" title="Knowledge Base">Knowledge Base</a> Population task since 2010.<sup id="cite_ref-tac_kbp_paper_3-0" class="reference"><a href="#cite_note-tac_kbp_paper-3"><span class="cite-bracket">[</span>3<span class="cite-bracket">]</span></a></sup> She has been recognised as one of AI's 10 to watch by <a href="/wiki/Institute_of_Electrical_and_Electronics_Engineers" title="Institute of Electrical and Electronics Engineers">IEEE</a> Intelligent Systems in 2013,<sup id="cite_ref-ai_to_watch_4-0" class="reference"><a href="#cite_note-ai_to_watch-4"><span class="cite-bracket">[</span>4<span class="cite-bracket">]</span></a></sup> and has won multiple awards, including a <a href="/wiki/NSF_Career_Award" class="mw-redirect" title="NSF Career Award">NSF Career Award</a> in 2009,<sup id="cite_ref-nsf_career_5-0" class="reference"><a href="#cite_note-nsf_career-5"><span class="cite-bracket">[</span>5<span class="cite-bracket">]</span></a></sup> <a href="/wiki/Google" title="Google">Google</a> Research awards in 2009 and 2014,<sup id="cite_ref-google_awards_6-0" class="reference"><a href="#cite_note-google_awards-6"><span class="cite-bracket">[</span>6<span class="cite-bracket">]</span></a></sup> and an <a href="/wiki/IBM_Watson" title="IBM Watson">IBM Watson</a> Faculty Award in 2012.<sup id="cite_ref-ibm_award_7-0" class="reference"><a href="#cite_note-ibm_award-7"><span class="cite-bracket">[</span>7<span class="cite-bracket">]</span></a></sup> </p> <meta property="mw:PageProp/toc" /> <div class="mw-heading mw-heading2"><h2 id="Education">Education</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Heng_Ji&action=edit&section=1" title="Edit section: Education"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Heng Ji obtained a Bachelor's and master's degree in <a href="/wiki/Computational_Linguistics" class="mw-redirect" title="Computational Linguistics">Computational Linguistics</a> from <a href="/wiki/Tsinghua_University" title="Tsinghua University">Tsinghua University</a>. She subsequently obtained a MSc, then PhD in <a href="/wiki/Computer_Science" class="mw-redirect" title="Computer Science">Computer Science</a> from <a href="/wiki/New_York_University" title="New York University">New York University</a> in 2008 under the supervision of <a href="/w/index.php?title=Ralph_Grishman&action=edit&redlink=1" class="new" title="Ralph Grishman (page does not exist)">Ralph Grishman</a>. Her PhD thesis was on the topic of information extraction, with a particular focus on joint training of multiple components in the information extraction pipeline, as well as cross-lingual learning.<sup id="cite_ref-phd_thesis_8-0" class="reference"><a href="#cite_note-phd_thesis-8"><span class="cite-bracket">[</span>8<span class="cite-bracket">]</span></a></sup> </p> <div class="mw-heading mw-heading2"><h2 id="Career">Career</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Heng_Ji&action=edit&section=2" title="Edit section: Career"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Upon graduating with a PhD from <a href="/wiki/New_York_University" title="New York University">New York University</a>, Ji took up a position as assistant professor at <a href="/wiki/Queens_College,_City_University_of_New_York" title="Queens College, City University of New York">Queens College, City University of New York</a>, where she founded the BLENDER Lab,<sup id="cite_ref-blender_9-0" class="reference"><a href="#cite_note-blender-9"><span class="cite-bracket">[</span>9<span class="cite-bracket">]</span></a></sup> which focuses on research on cross-lingual, cross-documents, cross-media information extraction and fusion. In 2013, she joined <a href="/wiki/Rensselaer_Polytechnic_Institute" title="Rensselaer Polytechnic Institute">Rensselaer Polytechnic Institute</a> as an Edward P. Hamilton Development Chair and Tenured associate professor in Computer Science.<sup id="cite_ref-rpi_joining_10-0" class="reference"><a href="#cite_note-rpi_joining-10"><span class="cite-bracket">[</span>10<span class="cite-bracket">]</span></a></sup> Since 2019, she has been a full professor at the <a href="/wiki/University_of_Illinois_at_Urbana%E2%80%93Champaign" class="mw-redirect" title="University of Illinois at Urbana–Champaign">University of Illinois at Urbana–Champaign</a>,<sup id="cite_ref-illinois_joining_11-0" class="reference"><a href="#cite_note-illinois_joining-11"><span class="cite-bracket">[</span>11<span class="cite-bracket">]</span></a></sup> as well as an <a href="/wiki/Amazon_(company)" title="Amazon (company)">Amazon</a> Scholar. </p> <div class="mw-heading mw-heading2"><h2 id="Research">Research</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Heng_Ji&action=edit&section=3" title="Edit section: Research"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Heng Ji works in the area of <a href="/wiki/Natural_language_processing" title="Natural language processing">natural language processing</a>, <a href="/wiki/Machine_learning" title="Machine learning">machine learning</a> and <a href="/wiki/Information_extraction" title="Information extraction">information extraction</a>. She has published over 300 peer-reviewed research papers.<sup id="cite_ref-12" class="reference"><a href="#cite_note-12"><span class="cite-bracket">[</span>12<span class="cite-bracket">]</span></a></sup> Her work is published in the proceedings of <a href="/wiki/Computer_science" title="Computer science">computer science</a> conferences, including the Annual Meeting of the <a href="/wiki/Association_for_Computational_Linguistics" title="Association for Computational Linguistics">Association for Computational Linguistics</a>, <a href="/wiki/The_Web_Conference" title="The Web Conference">The Web Conference</a>, and the ACM <a href="/wiki/Conference_on_Knowledge_Discovery_and_Data_Mining" class="mw-redirect" title="Conference on Knowledge Discovery and Data Mining">Conference on Knowledge Discovery and Data Mining</a> (KDD). Ji is a leading researcher in <a href="/wiki/Information_extraction" title="Information extraction">information extraction</a>, having coordinated the popular <a href="/wiki/NIST" class="mw-redirect" title="NIST">NIST</a> TAC <a href="/wiki/Knowledge_Base" class="mw-redirect" title="Knowledge Base">Knowledge Base</a> Population shared task since 2010.<sup id="cite_ref-tac_kbp_paper_3-1" class="reference"><a href="#cite_note-tac_kbp_paper-3"><span class="cite-bracket">[</span>3<span class="cite-bracket">]</span></a></sup> She is most recognised for her work on modelling interactions between subtasks in information extraction,<sup id="cite_ref-joint_extraction_1-1" class="reference"><a href="#cite_note-joint_extraction-1"><span class="cite-bracket">[</span>1<span class="cite-bracket">]</span></a></sup> which was also the topic of her PhD thesis,<sup id="cite_ref-phd_thesis_8-1" class="reference"><a href="#cite_note-phd_thesis-8"><span class="cite-bracket">[</span>8<span class="cite-bracket">]</span></a></sup> and for her work on event detection using cross-document signals.<sup id="cite_ref-event_extraction_2-1" class="reference"><a href="#cite_note-event_extraction-2"><span class="cite-bracket">[</span>2<span class="cite-bracket">]</span></a></sup> </p> <div class="mw-heading mw-heading2"><h2 id="Selected_honors_and_distinctions">Selected honors and distinctions</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Heng_Ji&action=edit&section=4" title="Edit section: Selected honors and distinctions"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <ul><li>2009 <a href="/wiki/NSF_Career_Award" class="mw-redirect" title="NSF Career Award">NSF Career Award</a><sup id="cite_ref-nsf_career_5-1" class="reference"><a href="#cite_note-nsf_career-5"><span class="cite-bracket">[</span>5<span class="cite-bracket">]</span></a></sup></li> <li>2009 <a href="/wiki/Google" title="Google">Google</a> Research Award</li> <li>2012 <a href="/wiki/IBM_Watson" title="IBM Watson">IBM Watson</a> Faculty Award<sup id="cite_ref-ibm_award_7-1" class="reference"><a href="#cite_note-ibm_award-7"><span class="cite-bracket">[</span>7<span class="cite-bracket">]</span></a></sup></li> <li>2013 <a href="/wiki/Institute_of_Electrical_and_Electronics_Engineers" title="Institute of Electrical and Electronics Engineers">IEEE</a> AI's 10 to Watch<sup id="cite_ref-ai_to_watch_4-1" class="reference"><a href="#cite_note-ai_to_watch-4"><span class="cite-bracket">[</span>4<span class="cite-bracket">]</span></a></sup></li> <li>2014 <a href="/wiki/Google" title="Google">Google</a> Research Award<sup id="cite_ref-google_awards_6-1" class="reference"><a href="#cite_note-google_awards-6"><span class="cite-bracket">[</span>6<span class="cite-bracket">]</span></a></sup></li> <li>2016 <a href="/wiki/World_Economic_Forum" title="World Economic Forum">World Economic Forum</a>, 'Young Scientist'<sup id="cite_ref-wef_2016_13-0" class="reference"><a href="#cite_note-wef_2016-13"><span class="cite-bracket">[</span>13<span class="cite-bracket">]</span></a></sup></li> <li>2017 <a href="/wiki/World_Economic_Forum" title="World Economic Forum">World Economic Forum</a>, 'Young Scientist'<sup id="cite_ref-wef_2017_14-0" class="reference"><a href="#cite_note-wef_2017-14"><span class="cite-bracket">[</span>14<span class="cite-bracket">]</span></a></sup></li> <li>2020 Annual Meeting of the <a href="/wiki/Association_for_Computational_Linguistics" title="Association for Computational Linguistics">Association for Computational Linguistics</a>, best demonstration paper<sup id="cite_ref-acl2020_demo_15-0" class="reference"><a href="#cite_note-acl2020_demo-15"><span class="cite-bracket">[</span>15<span class="cite-bracket">]</span></a></sup></li></ul> <div class="mw-heading mw-heading2"><h2 id="References">References</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Heng_Ji&action=edit&section=5" title="Edit section: References"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <style data-mw-deduplicate="TemplateStyles:r1239543626">.mw-parser-output .reflist{margin-bottom:0.5em;list-style-type:decimal}@media screen{.mw-parser-output .reflist{font-size:90%}}.mw-parser-output .reflist .references{font-size:100%;margin-bottom:0;list-style-type:inherit}.mw-parser-output .reflist-columns-2{column-width:30em}.mw-parser-output .reflist-columns-3{column-width:25em}.mw-parser-output .reflist-columns{margin-top:0.3em}.mw-parser-output .reflist-columns ol{margin-top:0}.mw-parser-output .reflist-columns li{page-break-inside:avoid;break-inside:avoid-column}.mw-parser-output .reflist-upper-alpha{list-style-type:upper-alpha}.mw-parser-output .reflist-upper-roman{list-style-type:upper-roman}.mw-parser-output .reflist-lower-alpha{list-style-type:lower-alpha}.mw-parser-output .reflist-lower-greek{list-style-type:lower-greek}.mw-parser-output .reflist-lower-roman{list-style-type:lower-roman}</style><div class="reflist"> <div class="mw-references-wrap mw-references-columns"><ol class="references"> <li id="cite_note-joint_extraction-1"><span class="mw-cite-backlink">^ <a href="#cite_ref-joint_extraction_1-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-joint_extraction_1-1"><sup><i><b>b</b></i></sup></a></span> <span class="reference-text"><style data-mw-deduplicate="TemplateStyles:r1238218222">.mw-parser-output cite.citation{font-style:inherit;word-wrap:break-word}.mw-parser-output .citation q{quotes:"\"""\"""'""'"}.mw-parser-output .citation:target{background-color:rgba(0,127,255,0.133)}.mw-parser-output .id-lock-free.id-lock-free a{background:url("//upload.wikimedia.org/wikipedia/commons/6/65/Lock-green.svg")right 0.1em center/9px no-repeat}.mw-parser-output .id-lock-limited.id-lock-limited a,.mw-parser-output .id-lock-registration.id-lock-registration a{background:url("//upload.wikimedia.org/wikipedia/commons/d/d6/Lock-gray-alt-2.svg")right 0.1em center/9px no-repeat}.mw-parser-output .id-lock-subscription.id-lock-subscription a{background:url("//upload.wikimedia.org/wikipedia/commons/a/aa/Lock-red-alt-2.svg")right 0.1em center/9px no-repeat}.mw-parser-output .cs1-ws-icon a{background:url("//upload.wikimedia.org/wikipedia/commons/4/4c/Wikisource-logo.svg")right 0.1em center/12px no-repeat}body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-free a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-limited a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-registration a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-subscription a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .cs1-ws-icon a{background-size:contain;padding:0 1em 0 0}.mw-parser-output .cs1-code{color:inherit;background:inherit;border:none;padding:inherit}.mw-parser-output .cs1-hidden-error{display:none;color:var(--color-error,#d33)}.mw-parser-output .cs1-visible-error{color:var(--color-error,#d33)}.mw-parser-output .cs1-maint{display:none;color:#085;margin-left:0.3em}.mw-parser-output .cs1-kern-left{padding-left:0.2em}.mw-parser-output .cs1-kern-right{padding-right:0.2em}.mw-parser-output .citation .mw-selflink{font-weight:inherit}@media screen{.mw-parser-output .cs1-format{font-size:95%}html.skin-theme-clientpref-night .mw-parser-output .cs1-maint{color:#18911f}}@media screen and (prefers-color-scheme:dark){html.skin-theme-clientpref-os .mw-parser-output .cs1-maint{color:#18911f}}</style><cite id="CITEREFLiJi2014" class="citation conference cs1">Li, Qi; Ji, Heng (2014-06-01). <a rel="nofollow" class="external text" href="https://www.aclweb.org/anthology/P14-1038/">"Incremental Joint Extraction of Entity Mentions and Relations"</a>. <i>Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics (ACL2014)</i>. Annual Meeting of the Association for Computational Linguistics. Baltimore, Maryland: Association for Computational Linguistics. pp. <span class="nowrap">402–</span>412.</cite><span title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=conference&rft.atitle=Incremental+Joint+Extraction+of+Entity+Mentions+and+Relations&rft.btitle=Proceedings+of+52nd+Annual+Meeting+of+the+Association+for+Computational+Linguistics+%28ACL2014%29&rft.place=Baltimore%2C+Maryland&rft.pages=%3Cspan+class%3D%22nowrap%22%3E402-%3C%2Fspan%3E412&rft.pub=Association+for+Computational+Linguistics&rft.date=2014-06-01&rft.aulast=Li&rft.aufirst=Qi&rft.au=Ji%2C+Heng&rft_id=https%3A%2F%2Fwww.aclweb.org%2Fanthology%2FP14-1038%2F&rfr_id=info%3Asid%2Fen.wikipedia.org%3AHeng+Ji" class="Z3988"></span></span> </li> <li id="cite_note-event_extraction-2"><span class="mw-cite-backlink">^ <a href="#cite_ref-event_extraction_2-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-event_extraction_2-1"><sup><i><b>b</b></i></sup></a></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222" /><cite id="CITEREFJiGrishman2008" class="citation conference cs1">Ji, Heng; Grishman, Ralph (2008-06-01). <a rel="nofollow" class="external text" href="https://www.aclweb.org/anthology/P08-1030/">"Refining Event Extraction through Cross-Document Inference"</a>. <i>Proceedings of ACL-08: HLT</i>. Annual Meeting of the Association for Computational Linguistics. Columbus, Ohio: Association for Computational Linguistics. pp. <span class="nowrap">254–</span>262.</cite><span title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=conference&rft.atitle=Refining+Event+Extraction+through+Cross-Document+Inference&rft.btitle=Proceedings+of+ACL-08%3A+HLT&rft.place=Columbus%2C+Ohio&rft.pages=%3Cspan+class%3D%22nowrap%22%3E254-%3C%2Fspan%3E262&rft.pub=Association+for+Computational+Linguistics&rft.date=2008-06-01&rft.aulast=Ji&rft.aufirst=Heng&rft.au=Grishman%2C+Ralph&rft_id=https%3A%2F%2Fwww.aclweb.org%2Fanthology%2FP08-1030%2F&rfr_id=info%3Asid%2Fen.wikipedia.org%3AHeng+Ji" class="Z3988"></span></span> </li> <li id="cite_note-tac_kbp_paper-3"><span class="mw-cite-backlink">^ <a href="#cite_ref-tac_kbp_paper_3-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-tac_kbp_paper_3-1"><sup><i><b>b</b></i></sup></a></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222" /><cite id="CITEREFJiGrishmanDangGriffitt2010" class="citation conference cs1">Ji, Heng; Grishman, Ralph; Dang, Hoa Trang; Griffitt, Kira; Ellis, Joe (2010-01-01). "Overview of the TAC 2010 Knowledge Base Population Track". <i>Proceedings of Third Text Analysis Conference (TAC)</i>. Text Analysis Conference. 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data-event-name="ve-edit-sticky-header"><span class="vector-icon mw-ui-icon-wikimedia-edit mw-ui-icon-wikimedia-wikimedia-edit"></span> <span></span> </a> <a href="#" class="cdx-button cdx-button--fake-button cdx-button--fake-button--enabled cdx-button--weight-quiet cdx-button--icon-only" id="ca-viewsource-sticky-header" tabindex="-1" data-event-name="ve-edit-protected-sticky-header"><span class="vector-icon mw-ui-icon-wikimedia-editLock mw-ui-icon-wikimedia-wikimedia-editLock"></span> <span></span> </a> </div> <div class="vector-sticky-header-buttons"> <button class="cdx-button cdx-button--weight-quiet mw-interlanguage-selector" id="p-lang-btn-sticky-header" tabindex="-1" data-event-name="ui.dropdown-p-lang-btn-sticky-header"><span class="vector-icon mw-ui-icon-wikimedia-language mw-ui-icon-wikimedia-wikimedia-language"></span> <span>Add languages</span> </button> <a href="#" class="cdx-button cdx-button--fake-button cdx-button--fake-button--enabled cdx-button--weight-quiet cdx-button--action-progressive" id="ca-addsection-sticky-header" tabindex="-1" data-event-name="addsection-sticky-header"><span class="vector-icon mw-ui-icon-speechBubbleAdd-progressive mw-ui-icon-wikimedia-speechBubbleAdd-progressive"></span> <span>Add topic</span> </a> </div> <div class="vector-sticky-header-icon-end"> <div class="vector-user-links"> </div> </div> </div> </div> </div> <div class="mw-portlet mw-portlet-dock-bottom emptyPortlet" id="p-dock-bottom"> <ul> </ul> </div> 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