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Improving summarization performance by sentence compression: a pilot study
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Source Annual Meeting of the ACL archive
Proceedings of the sixth international workshop on Information retrieval with Asian languages - Volume 11 table of contents
Sapporo, Japan
Pages: 1 - 8  
Year of Publication: 2003
Author
Chin-Yew Lin  University of Southern California, Marina del Rey, CA
Publisher
Association for Computational Linguistics  Morristown, NJ, USA
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Downloads (6 Weeks): 2,   Downloads (12 Months): 34,   Citation Count: 7
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DOI Bookmark: 10.3115/1118935.1118936

ABSTRACT

In this paper we study the effectiveness of applying sentence compression on an extraction based multi-document summarization system. Our results show that pure syntactic-based compression does not improve system performance. Topic signature-based reranking of compressed sentences does not help much either. However reranking using an oracle showed a significant improvement remains possible.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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