Title: Information extraction from legal texts: the potential of discourse analysis
Authors: Moens, Marie-Francine ×
Uyttendaele, Caroline
Dumortier, Jos #
Issue Date: 1999
Publisher: Academic Press
Series Title: International Journal of Human-Computer Studies vol:51 issue:6 pages:1155-1171
Abstract: 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.
Description: code faculteit: 3.1
ISSN: 1071-5819
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Unit KU Leuven Centre for IT & IP Law (CiTiP)
× corresponding author
# (joint) last author

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