Signal Phrase Extraction: A Gateway to Information Retrieval Improvement in Law Texts
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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.
1983 ◽
Vol 197
(2)
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pp. 125-138
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2005 ◽
Vol 37
(4)
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pp. 275-284
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2019 ◽
Vol 5
(1)
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pp. 80-85
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