Citation based summarisation of legal texts

Authors:
Filippo Galgani;Paul Compton;Achim Hoffmann
Affiliations:
School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia;School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia;School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia
Venue:
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Year:
2012

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Abstract

This paper presents an approach towards using both incoming and outgoing citation information for document summarisation. Our work aims at generating automatically catchphrases for legal case reports, using, beside the full text, also the text of cited cases and cases that cite the current case. We propose methods to use catchphrases and sentences of cited/citing cases to extract catchphrases from the text of the target case. We created a corpus of cases, catchphrases and citations, and performed a ROUGE based evaluation, which shows the superiority of our citation-based methods over full-text-only methods.