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Signal Phrase Extraction: A Gateway to Information Retrieval Improvement in Law Texts
Michael van der Veen, Natalia Sidorova
127 - 130
10.3233/FAIA210327
Research Article
Frontiers in Artificial Intelligence and Applications
Volume 346: Legal Knowledge and Information Systems
Abstract

NLP-based techniques can support in improving understanding of legal text documents. In this work we present a semi-automatic framework to extract signal phrases from legislative texts for an arbitrary European language. Through a case study using Dutch legislation, we demonstrate that it is feasible to extract these phrases reliably with a small number of supporting domain experts. Finally, we argue how in future works our framework could be utilized with existing methods to be applied to different languages.

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