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Authors: Seamus Lyons and Dan Smith

Affiliation: School of Computing Sciences, University of East Anglia, United Kingdom

ISBN: 972-8865-23-6X

Abstract: Multiple document summarization is becoming increasingly important as a way of reducing information overload, particularly in the context of the proliferation of similar accounts of events that are available on the Web. Removal of similar sentences often results in either partial or unwanted elimination of important information. In this paper, we present an approach to split sentences into their component clauses and use these clauses to produce comprehensive summaries of multiple documents describing particular events. Detailed analysis of all clauses and clause boundaries may be complex and computationally expensive. Our rule-based approach demonstrates that it is possible to achieve high accuracy in reasonable time.

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Paper citation in several formats:
Lyons S.; Smith D. and (2005). Identifying Information Units for Multiple Document Summarization.In Proceedings of the 2nd International Workshop on Natural Language Understanding and Cognitive Science - Volume 1: NLUCS, (ICEIS 2005) ISBN 972-8865-23-6X, pages 110-117. DOI: 10.5220/0002564701100117

@conference{nlucs05,
author={Seamus Lyons and Dan Smith},
title={Identifying Information Units for Multiple Document Summarization},
booktitle={Proceedings of the 2nd International Workshop on Natural Language Understanding and Cognitive Science - Volume 1: NLUCS, (ICEIS 2005)},
year={2005},
pages={110-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002564701100117},
isbn={972-8865-23-6X},
}

TY - CONF

JO - Proceedings of the 2nd International Workshop on Natural Language Understanding and Cognitive Science - Volume 1: NLUCS, (ICEIS 2005)
TI - Identifying Information Units for Multiple Document Summarization
SN - 972-8865-23-6X
AU - Lyons, S.
AU - Smith, D.
PY - 2005
SP - 110
EP - 117
DO - 10.5220/0002564701100117

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