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Connecting Symbolic Statutory Reasoning with Legal Information Extraction

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Statutory reasoning is the task of determining whether a given law - a part of a statute - applies to a given legal case. Previous work has shown that structured, logical representations of laws and cases can be leveraged to solve statutory reasoning, including on the StAtutory Reasoning Assessment dataset (SARA), but rely on costly human translation into structured representations. Here, we investigate a form of legal information extraction atop the SARA cases, illustrating how the task can be done with high performance. Further, we show how the performance of downstream symbolic reasoning directly correlates with the quality of the information extraction.

Original languageEnglish
Title of host publicationNLLP 2023 - Natural Legal Language Processing Workshop 2023, Proceedings of the Workshop
EditorsDaniel Preotiuc-Pietro, Catalina Goanta, Ilias Chalkidis, Leslie Barrett, Gerasimos Spanakis, Nikolaos Aletras
PublisherAssociation for Computational Linguistics (ACL)
Pages113-131
Number of pages19
ISBN (Electronic)9798891760547
DOIs
Publication statusPublished - 1 Jan 2023
Event5th Natural Legal Language Processing Workshop, NLLP 2023 - Singapore, Singapore
Duration: 7 Dec 2023 → …

Publication series

NameNLLP 2023 - Natural Legal Language Processing Workshop 2023, Proceedings of the Workshop

Conference

Conference5th Natural Legal Language Processing Workshop, NLLP 2023
Country/TerritorySingapore
CitySingapore
Period7/12/23 → …

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