Information extraction from legal texts: the potential of discourse analysis

被引：16

作者：

Moens, MF ^{[1
]}

Uyttendaele, C ^{[1
]}

Dumortier, J ^{[1
]}

机构：

[1] Katholieke Univ Leuven, Interdisciplinary Ctr Law & IT ICRI, B-3000 Louvain, Belgium

来源：

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES | 1999年 / 51卷 / 06期

关键词：

D O I：

10.1006/ijhc.1999.0296

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

There is an urgent need to automatically identify information in legal texts. In this paper, we argue that discourse analysis yields valuable knowledge to be incorporated in text processing systems. Knowledge about discourse patterns has already been applied in legal text generation systems. But, it is equally important to incorporate this kind of knowledge in legal information extraction systems. This knowledge is helpful for locating information in texts. Also, we demonstrate the need for adequate, maintainable, and possibly sharable knowledge representations of discourse patterns. The findings are illustrated by explicating the role discourse analysis played when building the SALOMON system, a system that automatically abstracts Belgian criminal cases. (C) 1999 Academic Press.

引用

页码：1155 / 1171

页数：17

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