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Investigating Unit Weighting and Unit Selection Factors in Thai Multi-document Summarization

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Knowledge, Information and Creativity Support Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 416))

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Abstract

Breaking down documents into small units, unit weighting and unit selection are two important factors in summarization of multiple related documents. This paper presents an investigation on performance of several variants of unit weighting and selection schemes on Thai multi-document summarization. Fifty sets of Thai news articles with their reference summaries are used to evaluate the performance of various weighting and selection methods. Compared to PageRank and Maximal Marginal Relevance (MMR) with four ROUGE measures, the results show that iterative weighting gets higher performance of traditional TF-IDF, the iterative node weighting, query relevance, centroid-based selection, and unit redundancy consideration can help improving summary quality.

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Acknowledgments

This work was supported by the National Research University Project of Thailand Office of Higher Education Commission, Thammasat Center of Excellence in Intelligent Informatics, Speech and Language Technology and Service Innovation, and Rajamangala University of Technology Lanna Nan. We would like to thank to all members at KINDML laboratory at Sirindhorn International Institute of Technology for fruitful discussion.

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Authors and Affiliations

  1. Faculty of Science and Agricultural Technology, Rajamangala University of Technology Lanna, Nan, Thailand

    Nongnuch Ketui

  2. School of Information, Computer and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Bangkok, Thailand

    Thanaruk Theeramunkong

Authors
  1. Nongnuch Ketui
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  2. Thanaruk Theeramunkong
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Corresponding author

Correspondence to Nongnuch Ketui .

Editor information

Editors and Affiliations

  1. and Technology, JAIST - Japan Advanced Institute for Sci, Kanazawa, Japan

    Susumu Kunifuji

  2. Dept of Computer Science, University of Cyprus, Nicosia, Cyprus

    George Angelos Papadopoulos

  3. Dept. of Automatic Control & Biom. Eng., AGH University of Science and Technology, Kraków, Poland

    Andrzej M.J. Skulimowski

  4. Systems Res Inst, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk  

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Ketui, N., Theeramunkong, T. (2016). Investigating Unit Weighting and Unit Selection Factors in Thai Multi-document Summarization. In: Kunifuji, S., Papadopoulos, G., Skulimowski, A., Kacprzyk  , J. (eds) Knowledge, Information and Creativity Support Systems. Advances in Intelligent Systems and Computing, vol 416. Springer, Cham. https://doi.org/10.1007/978-3-319-27478-2_14

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  • DOI: https://doi.org/10.1007/978-3-319-27478-2_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27477-5

  • Online ISBN: 978-3-319-27478-2

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