FIRE 2020 AILA专题:法律援助中的人工智能

Proceedings of the 12th Annual Meeting of the Forum for Information Retrieval Evaluation Pub Date : 2020-12-16 DOI:10.1145/3441501.3441510

Paheli Bhattacharya, Parth Mehta, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, A. Bhattacharya, Prasenjit Majumder

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引用次数: 29

摘要

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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FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance

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.

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Proceedings of the 12th Annual Meeting of the Forum for Information Retrieval Evaluation

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