MILDSum：一个面向印度法律案件判决多语言摘要的新基准数据集
MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments
AI总结：
本文提出首个面向印度法律判决的跨语言摘要基准数据集MILDSum，包含3,122份英语判决及英印双语摘要，并评测多种方法以推动法律领域跨语言摘要研究。
摘要：
法律案件判决的自动摘要是具有重要实际意义的问题，已在许多国家吸引了大量研究投入。在印度司法体系的背景下，还存在额外的复杂性——印度法律案件判决大多以复杂的英语撰写，但印度人口中有相当一部分不掌握英语。因此，以印度语言对法律文件进行摘要对于确保公平获得司法服务至关重要。此前的研究主要关注以源语言对法律案件判决进行摘要，而本研究在将英语法律文件跨语言摘要为印地语（印度使用最广泛的语言）方面做出了开创性努力。我们构建了首个高质量法律语料库，包含来自印度主要法院的3,122份英语案件判决，以及由法律从业者撰写的英语和印地语双语摘要。我们在该语料库上对多种不同类型的摘要方法进行了基准评测，并证明了在法律领域跨语言摘要方面需要进一步研究。
英文摘要：
Automatic summarization of legal case judgments is a practically important problem that has attracted substantial research efforts in many countries. In the context of the Indian judiciary, there is an additional complexity -- Indian legal case judgments are mostly written in complex English, but a significant portion of India's population lacks command of the English language. Hence, it is crucial to summarize the legal documents in Indian languages to ensure equitable access to justice. While prior research primarily focuses on summarizing legal case judgments in their source languages, this study presents a pioneering effort toward cross-lingual summarization of English legal documents into Hindi, the most frequently spoken Indian language. We construct the first high-quality legal corpus comprising of 3,122 case judgments from prominent Indian courts in English, along with their summaries in both English and Hindi, drafted by legal practitioners. We benchmark the performance of several diverse summarization approaches on our corpus and demonstrate the need for further research in cross-lingual summarization in the legal domain.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
