用成文法提取印度案例文件中的无监督法律概念

Proceedings of the 12th Annual Meeting of the Forum for Information Retrieval Evaluation Pub Date : 2020-12-16 DOI:10.1145/3441501.3441508

Riya Sanjay Podder, Paheli Bhattacharya

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引用次数: 0

摘要

寻找与案件判决书相关的法律概念，是法律数据挖掘领域的一项重要任务。这些概念通常也被称为流行语/关键词。这项任务的现有方法缺乏提取文件中可能没有明确提到但抽象地提出的法律概念的能力。这是因为这些方法不包含法律领域特定的信息。在本文中，我们建议使用法规来解决这一任务。对1200份印度最高法院案件文件的评估表明，我们的方法是有效的，并打开了在这个方向上进行更多探索的可能性。

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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Unsupervised Legal Concept Extraction from Indian Case Documents using Statutes

Finding legal concepts pertaining to court case judgement documents, is an important task in the field of legal data mining. These concepts are also popularly termed as catchwords/keywords. Existing methods for the task lack the ability to extract legal concepts that may not explicitly be mentioned in the document, but present abstractly. This is because the methods do not incorporate legal domain specific information. In this paper, we propose the use of Statutes to solve this task. Evaluation on a set of 1200 Indian Supreme Court Case Documents suggest the effectiveness of our approach, and opens the possibilities of exploring more in this direction.

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

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