FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance

Paheli Bhattacharya, Parth Mehta, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, A. Bhattacharya, Prasenjit Majumder
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引用次数: 29

Abstract

The FIRE 2020 AILA track aimed at developing datasets and frameworks for the following two tasks: (i) Precedent and Statute Retrieval, where the task was to identify relevant prior cases and statutes (written laws) given a factual scenario, and (ii) Rhetorical Role Labelling for legal judgements, where given a case document, sentences were to be classified into 7 rhetorical roles – Fact, Ruling by Lower Court, Argument, Precedent, Statute, Ratio of the decision and Ruling by Present Court. For both the tasks, we used publicly available Indian Supreme Court case documents.
FIRE 2020 AILA专题:法律援助中的人工智能
FIRE 2020 AILA旨在为以下两项任务开发数据集和框架:(i)先例和法规检索,其任务是在给定事实场景的情况下识别相关的先前案例和法规(成文法),以及(ii)法律判决的修辞角色标签,在给定案件文件时,将句子分为7个修辞角色-事实,下级法院裁决,论证,先例,法规,判决和本院裁决的比例。对于这两项任务,我们都使用了公开的印度最高法院案件文件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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