Sentence extraction for legal text summarisation

Authors:
Ben Hachey;Claire Grover
Affiliations:
University of Edinburgh, School of Informatics, Edinburgh, UK;University of Edinburgh, School of Informatics, Edinburgh, UK
Venue:
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Year:
2005

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Abstract

We describe a system for generating extractive summaries of texts in the legal domain, focusing on the relevance classifier, which determines which sentences are abstract-worthy. We experiment with naïve Bayes and maximum entropy estimation toolkits and explore methods for selecting abstract-worthy sentences in rank order. Evaluation using standard accuracy measures and using correlation confirm the utility of our approach, but suggest different optimal configurations.