An evolutionary approach for improving the quality of automatic summaries

Authors:
Constantin Orǎsan
Affiliations:
University of Wolverhampton
Venue:
MultiSumQA '03 Proceedings of the ACL 2003 workshop on Multilingual summarization and question answering - Volume 12
Year:
2003

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Abstract

Automatic text extraction techniques have proved robust, but very often their summaries are not coherent. In this paper, we propose a new extraction method which uses local coherence as a means to improve the overall quality of automatic summaries. Two algorithms for sentence selection are proposed and evaluated on scientific documents. Evaluation showed that the method ameliorates the quality of summaries, noticeable improvements being obtained for longer summaries produced by an algorithm which selects sentences using an evolutionary algorithm.