An Automatic System for Summarization and Information Extraction of Legal Information
An Automatic System for Summarization and Information Extraction of Legal Information
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法律信息自动汇总与信息提取系统
DOI：
10.1007/978-3-642-12837-0_12
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
G. Lapalme
中科院分区：
文献类型：
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作者：
Emmanuel Chieze;Atefeh Farzindar;G. Lapalme
本文介绍了一个集成了文本分类、摘要等自然语言处理技术的法律专业人员信息系统。我们描述了我们在法律信息和摘要系统中混合使用语言学感知传感器和XML技术从法语和英语判决中提取双语信息的经验。我们介绍了工作的背景、主要挑战以及如何通过明确分离语言与领域相关的术语和词汇表来解决这些挑战。在移民法领域开发了该系统后，很容易将其移植到知识产权和税法领域。
This paper presents an information system for legal professionals that integrates natural language processing technologies such as text classification and summarization. We describe our experience in the use of a mix of linguistics aware transductor and XML technologies for bilingual information extraction from judgements in both French and English within a legal information and summarizing system. We present the context of the work, the main challenges and how they were tackled by clearly separating language and domain dependent terms and vocabularies. After having been developed on the immigration law domain, the system was easily ported to the intellectual property and tax law domains.