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Title:Automatic Legal Text Summarisation: Experiments with Summary Structuring
Authors: Benjamin Hachey ; Danilo Vasconcellos Vargas ; Claire Grover
Date:Jun 2005
Publication Title:Proceedings of ICAIL 2005 (International Conference on Artificial Intelligence and Law)
Publisher:ACM
Publication Type:Conference Paper Publication Status:Published
Page Nos:75-84
Abstract:
We describe a set of experiments using machine learning techniques for the task of extractive summarisation. The research is part of a summarisation project for which we use a corpus of judgments of the UK House of Lords. We present classification results for na ıve Bayes and maximum entropy and we explore methods for scoring the summary-worthiness of a sentence. We present sample output from the system, illustrating the utility of rhetorical status information, which provides a means for structuring summaries and tailoring them to different types of users
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Bibtex format
@InProceedings{EDI-INF-RR-0620,
author = { Benjamin Hachey and Danilo Vasconcellos Vargas and Claire Grover },
title = {Automatic Legal Text Summarisation: Experiments with Summary Structuring},
book title = {Proceedings of ICAIL 2005 (International Conference on Artificial Intelligence and Law)},
publisher = {ACM},
year = 2005,
month = {Jun},
pages = {75-84},
url = {http://www.ltg.ed.ac.uk/SUM/PUBS/icail05-author.pdf},
}


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