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Multi-sentence Compression Using Word Graph and Integer Linear Programming

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Advanced Topics in Intelligent Information and Database Systems (ACIIDS 2017)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 710))

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Abstract

Multi-sentence compression is the task of generating a single sentence from a set of sentences about the same topic. In this work, we explore the use of syntax factor in combination with informativeness and linguistic quality in an Integer Linear Programming framework. Compression candidate paths generated by a word graph are re-ranked using frequent words. Then top k-shortest paths are used as the variables for Integer Linear Programming formulation. Our system improves over state of the art in both English and Vietnamese datasets.

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Notes

  1. 1.

    http://nlp.stanford.edu/software/lex-parser.shtml.

  2. 2.

    http://vlsp.hpda.vn/.

  3. 3.

    http://www.speech.sri.com/projects/srilm/.

  4. 4.

    http://www.keithv.com/software/giga/.

  5. 5.

    https://www.coin-or.org/PuLP/.

  6. 6.

    http://duc.nist.gov/duc2004/.

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Acknowledgements

This work was supported by the Ho Chi Minh City Department of Science and Technology, Grant Numbers 15/2016/HD-SKHCN.

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Authors and Affiliations

  1. Faculty of Information Technology, University of Science, VNUHCM 227 Nguyen Van Cu, Dist. 5, Ho Chi Minh City, Vietnam

    Dung Tran Tuan, Nam Van Chi & Minh-Quoc Nghiem

Authors
  1. Dung Tran Tuan
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  2. Nam Van Chi
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  3. Minh-Quoc Nghiem
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Corresponding author

Correspondence to Dung Tran Tuan .

Editor information

Editors and Affiliations

  1. Faculty of Computer Sci. and Management, Wroclaw Univ. of Science and Technology Faculty of Computer Sci. and Management, Wroclaw, Poland

    Dariusz Król

  2. Faculty of Computer Sci. and Management, Wroclaw Univ of Science and Technology Faculty of Computer Sci. and Management, Wroclaw, Poland

    Ngoc Thanh Nguyen

  3. School of Advanced Sci. and Technology, Japan Advanced Inst. of Sci. and Tech School of Advanced Sci. and Technology, Ishikawa, Japan

    Kiyoaki Shirai

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Tuan, D.T., Van Chi, N., Nghiem, MQ. (2017). Multi-sentence Compression Using Word Graph and Integer Linear Programming. In: Król, D., Nguyen, N., Shirai, K. (eds) Advanced Topics in Intelligent Information and Database Systems. ACIIDS 2017. Studies in Computational Intelligence, vol 710. Springer, Cham. https://doi.org/10.1007/978-3-319-56660-3_32

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  • DOI: https://doi.org/10.1007/978-3-319-56660-3_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56659-7

  • Online ISBN: 978-3-319-56660-3

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