Automatic Argumentation Detection and its Role in Law and the Semantic Web

Authors:
Raquel Mochales Palau;Marie-Francine Moens
Affiliations:
Department of Computer Science, Katholieke Universiteit Leuven, B-3001 Heverlee, Belgium;Department of Computer Science, Katholieke Universiteit Leuven, B-3001 Heverlee, Belgium
Venue:
Proceedings of the 2009 conference on Law, Ontologies and the Semantic Web: Channelling the Legal Information Flood
Year:
2009

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Abstract

The automatic detection of arguments in text regards a relatively new area at the intersection of Natural Language Processing, Information Retrieval and Legal Information Systems. This paper presents some fundamental issues when processing texts that contain argumentation. Furthermore, our research bridges different areas, including the legal field and the Semantic Web, where argumentation detection and reconstruction could be beneficial. Finally, it analyses several methodologies to accomplish this task, providing results from different experiments done over several kinds of texts, specially legal reports.