@inproceedings{a1a6078c7aba43498f9341068e77e119,
title = "Signal Phrase Extraction: Gateway to Information Retrieval Improvement in Law Texts",
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.",
keywords = "Information retrieval, Legislative texts, Signal phrase extraction",
author = "\{van der Veen\}, Michael and Natalia Sidorova",
year = "2021",
doi = "10.3233/FAIA210327",
language = "English",
isbn = "978-1-64368-252-5",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press",
pages = "127--130",
editor = "Erich Schweighofer",
booktitle = "Legal Knowledge and Information Systems",
address = "Netherlands",
note = "34th International Conference on Legal Knowledge and Information Systems, JURIX 2021, JURIX 2021 ; Conference date: 08-12-2021 Through 10-12-2021",
}