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</div> <div class="control"> <button class="button is-small is-link">Go</button> </div> </div> </form> </div> </div> <ol class="breathe-horizontal" start="1"> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2411.06873">arXiv:2411.06873</a> <span> [<a href="https://arxiv.org/pdf/2411.06873">pdf</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Symbolic Computation">cs.SC</span> </div> </div> <p class="title is-5 mathjax"> Case Frames and Case-Based Arguments in Statutory Interpretation </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Araszkiewicz%2C+M">Michal Araszkiewicz</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2411.06873v1-abstract-short" style="display: inline;"> We introduce a novel conceptual Case Frame model that represents the content of cases involving statutory interpretation within civil law frameworks, accompanied by an associated argument scheme enriched with critical questions. By validating our approach with a modest dataset, we demonstrate its robustness and practical applicability. Our model not only provides a structured method for analyzing… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.06873v1-abstract-full').style.display = 'inline'; document.getElementById('2411.06873v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2411.06873v1-abstract-full" style="display: none;"> We introduce a novel conceptual Case Frame model that represents the content of cases involving statutory interpretation within civil law frameworks, accompanied by an associated argument scheme enriched with critical questions. By validating our approach with a modest dataset, we demonstrate its robustness and practical applicability. Our model not only provides a structured method for analyzing statutory interpretation but also highlights the distinct needs of lawyers operating under statutory law compared to those reasoning with common law precedents. The model presented here is a step towards developing a hybrid Machine Learning and Argumentation system that includes a module for constructing well-structured arguments from textual datasets. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.06873v1-abstract-full').style.display = 'none'; document.getElementById('2411.06873v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 11 November, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">10 pages, long JURIX 2024 paper</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2112.07882">arXiv:2112.07882</a> <span> [<a href="https://arxiv.org/pdf/2112.07882">pdf</a>, <a href="https://arxiv.org/format/2112.07882">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computation and Language">cs.CL</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1145/3462757.3466149">10.1145/3462757.3466149 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Savelka%2C+J">Jaromir Savelka</a>, <a href="/search/cs?searchtype=author&query=Westermann%2C+H">Hannes Westermann</a>, <a href="/search/cs?searchtype=author&query=Benyekhlef%2C+K">Karim Benyekhlef</a>, <a href="/search/cs?searchtype=author&query=Alexander%2C+C+S">Charlotte S. Alexander</a>, <a href="/search/cs?searchtype=author&query=Grant%2C+J+C">Jayla C. Grant</a>, <a href="/search/cs?searchtype=author&query=Amariles%2C+D+R">David Restrepo Amariles</a>, <a href="/search/cs?searchtype=author&query=Hamdani%2C+R+E">Rajaa El Hamdani</a>, <a href="/search/cs?searchtype=author&query=Mee%C3%B9s%2C+S">S茅bastien Mee霉s</a>, <a href="/search/cs?searchtype=author&query=Araszkiewicz%2C+M">Micha艂 Araszkiewicz</a>, <a href="/search/cs?searchtype=author&query=Ashley%2C+K+D">Kevin D. Ashley</a>, <a href="/search/cs?searchtype=author&query=Ashley%2C+A">Alexandra Ashley</a>, <a href="/search/cs?searchtype=author&query=Branting%2C+K">Karl Branting</a>, <a href="/search/cs?searchtype=author&query=Falduti%2C+M">Mattia Falduti</a>, <a href="/search/cs?searchtype=author&query=Grabmair%2C+M">Matthias Grabmair</a>, <a href="/search/cs?searchtype=author&query=Hara%C5%A1ta%2C+J">Jakub Hara拧ta</a>, <a href="/search/cs?searchtype=author&query=Novotn%C3%A1%2C+T">Tereza Novotn谩</a>, <a href="/search/cs?searchtype=author&query=Tippett%2C+E">Elizabeth Tippett</a>, <a href="/search/cs?searchtype=author&query=Johnson%2C+S">Shiwanni Johnson</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2112.07882v1-abstract-short" style="display: inline;"> In this paper, we examine the use of multi-lingual sentence embeddings to transfer predictive models for functional segmentation of adjudicatory decisions across jurisdictions, legal systems (common and civil law), languages, and domains (i.e. contexts). Mechanisms for utilizing linguistic resources outside of their original context have significant potential benefits in AI & Law because differenc… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2112.07882v1-abstract-full').style.display = 'inline'; document.getElementById('2112.07882v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2112.07882v1-abstract-full" style="display: none;"> In this paper, we examine the use of multi-lingual sentence embeddings to transfer predictive models for functional segmentation of adjudicatory decisions across jurisdictions, legal systems (common and civil law), languages, and domains (i.e. contexts). Mechanisms for utilizing linguistic resources outside of their original context have significant potential benefits in AI & Law because differences between legal systems, languages, or traditions often block wider adoption of research outcomes. We analyze the use of Language-Agnostic Sentence Representations in sequence labeling models using Gated Recurrent Units (GRUs) that are transferable across languages. To investigate transfer between different contexts we developed an annotation scheme for functional segmentation of adjudicatory decisions. We found that models generalize beyond the contexts on which they were trained (e.g., a model trained on administrative decisions from the US can be applied to criminal law decisions from Italy). Further, we found that training the models on multiple contexts increases robustness and improves overall performance when evaluating on previously unseen contexts. Finally, we found that pooling the training data from all the contexts enhances the models' in-context performance. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2112.07882v1-abstract-full').style.display = 'none'; document.getElementById('2112.07882v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 14 December, 2021; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> December 2021. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">10 pages</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> In Proceedings of ICAIL 2021, pp. 129-138. 2021 </p> </li> </ol> <div class="is-hidden-tablet">  <span class="help" style="display: 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