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Improvement in Quality of Extractive Text Summaries Using Modified Reciprocal Ranking

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Proceedings of International Conference on ICT for Sustainable Development

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 409))

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Abstract

Due to increasing amount of text data available in WWW, it becomes time consuming for information system users to explore every text source in detail. Automatic text summarization (ATS) is the process of generating summary by condensing text document automatically by a computer machine that can save users precious time. Major issue with most of the feature-based ATS methods is to find optimal feature weights for sentence scoring to optimize quality of text summary. This paper presents a novel voting-based approach that use modified reciprocal ranking approach which alleviates the issue of feature weighting and. Proposed approach use a specific prominent set of features for initial ranking that further boosts the performance. Experimental results on DUC 2002 dataset using ROUGE evaluation matrices show that our proposed voting approach performs better when compared to other statistical- and voting-based methods.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Malaviya National Institute of Technology, Jaipur, India

    Yogesh Kumar Meena & Dinesh Gopalani

Authors
  1. Yogesh Kumar Meena
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  2. Dinesh Gopalani
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Corresponding author

Correspondence to Yogesh Kumar Meena .

Editor information

Editors and Affiliations

  1. Dept of Comp. Sci. & Engg, Anil Neerukonda Inst of Tech and Science, Visakhapatnam, India

    Suresh Chandra Satapathy

  2. Sabarkantha, Sabar Institute of Technology, Sabarkantha, Gujarat, India

    Amit Joshi

  3. Narsinhbhai Inst of Comp Studies & Mgmt, Gandhinagar, Gujarat, India

    Nilesh Modi

  4. Narsinhbhai Inst of Comp Studies & Mgmt, Gandhinagar, India

    Nisarg Pathak

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© 2016 Springer Science+Business Media Singapore

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Meena, Y.K., Gopalani, D. (2016). Improvement in Quality of Extractive Text Summaries Using Modified Reciprocal Ranking. In: Satapathy, S., Joshi, A., Modi, N., Pathak, N. (eds) Proceedings of International Conference on ICT for Sustainable Development. Advances in Intelligent Systems and Computing, vol 409. Springer, Singapore. https://doi.org/10.1007/978-981-10-0135-2_30

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  • DOI: https://doi.org/10.1007/978-981-10-0135-2_30

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0133-8

  • Online ISBN: 978-981-10-0135-2

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