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Improving summarization performance by sentence compression: a pilot study

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Chin-Yew LinAuthors Info & Claims

AsianIR '03: Proceedings of the sixth international workshop on Information retrieval with Asian languages - Volume 11

Pages 1 - 8

https://doi.org/10.3115/1118935.1118936

Published: 07 July 2003 Publication History

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.

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Cited By

Gu ZArawjo ILi KKummerfeld JGlassman E(2024)An AI-Resilient Text Rendering Technique for Reading and Skimming DocumentsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642699(1-22)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642699
Yuan QRen XHe WZhang CGeng XHuang LJi HLin CHan JCuzzocrea AAllan JPaton NSrivastava DAgrawal RBroder AZaki MCandan SLabrinidis ASchuster AWang H(2018)Open-Schema Event Profiling for Massive News CorporaProceedings of the 27th ACM International Conference on Information and Knowledge Management10.1145/3269206.3271674(587-596)Online publication date: 17-Oct-2018
https://dl.acm.org/doi/10.1145/3269206.3271674
Yao JWan XXiao J(2017)Recent advances in document summarizationKnowledge and Information Systems10.1007/s10115-017-1042-453:2(297-336)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1007/s10115-017-1042-4
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Improving summarization performance by sentence compression: a pilot study
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AsianIR '03: Proceedings of the sixth international workshop on Information retrieval with Asian languages - Volume 11

July 2003

175 pages

Program Chair:
Jun Adachi
National Institute of Informatics

Publisher

Association for Computational Linguistics

United States

Publication History

Published: 07 July 2003

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Cited By

Gu ZArawjo ILi KKummerfeld JGlassman E(2024)An AI-Resilient Text Rendering Technique for Reading and Skimming DocumentsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642699(1-22)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642699
Yuan QRen XHe WZhang CGeng XHuang LJi HLin CHan JCuzzocrea AAllan JPaton NSrivastava DAgrawal RBroder AZaki MCandan SLabrinidis ASchuster AWang H(2018)Open-Schema Event Profiling for Massive News CorporaProceedings of the 27th ACM International Conference on Information and Knowledge Management10.1145/3269206.3271674(587-596)Online publication date: 17-Oct-2018
https://dl.acm.org/doi/10.1145/3269206.3271674
Yao JWan XXiao J(2017)Recent advances in document summarizationKnowledge and Information Systems10.1007/s10115-017-1042-453:2(297-336)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1007/s10115-017-1042-4
Finegan-Dollak CRadev D(2016)Sentence simplification, compression, and disaggregation for summarization of sophisticated documentsJournal of the Association for Information Science and Technology10.1002/asi.2357667:10(2437-2453)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1002/asi.23576
Cohn TLapata M(2013)An abstractive approach to sentence compressionACM Transactions on Intelligent Systems and Technology10.1145/2483669.24836744:3(1-35)Online publication date: 1-Jul-2013
https://dl.acm.org/doi/10.1145/2483669.2483674
Molina ATorres-Moreno JSanJuan Eda Cunha ISierra Martínez G(2013)Discursive sentence compressionProceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 210.1007/978-3-642-37256-8_33(394-407)Online publication date: 24-Mar-2013
https://dl.acm.org/doi/10.1007/978-3-642-37256-8_33
Ryang SAbekawa TTsujii JHenderson JPasca M(2012)Framework of automatic text summarization using reinforcement learningProceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning10.5555/2390948.2390980(256-265)Online publication date: 12-Jul-2012
https://dl.acm.org/doi/10.5555/2390948.2390980
Napoles CVan Durme BCallison-Burch CFilippova KWan S(2011)Evaluating sentence compressionProceedings of the Workshop on Monolingual Text-To-Text Generation10.5555/2107679.2107690(91-97)Online publication date: 24-Jun-2011
https://dl.acm.org/doi/10.5555/2107679.2107690
Berg-Kirkpatrick TGillick DKlein DLin D(2011)Jointly learning to extract and compressProceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 110.5555/2002472.2002534(481-490)Online publication date: 19-Jun-2011
https://dl.acm.org/doi/10.5555/2002472.2002534
Molina ATorres-Moreno JSanJuan Eda Cunha ISierra GVelázquez-Morales P(2011)Discourse segmentation for sentence compressionProceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I10.1007/978-3-642-25324-9_27(316-327)Online publication date: 26-Nov-2011
https://dl.acm.org/doi/10.1007/978-3-642-25324-9_27
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