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Topic-Focused Summarization of News Events Based on Biased Snippet Extraction and Selection

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Information Retrieval Technology (AIRS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8870))

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Abstract

In this paper, we propose a framework to produce topic-focused summarization of news events, based on biased snippet extraction and selection. Through our approach, a summarization only retaining information related to a predefined topic (e.g. economy or politics) can be generated for a given news event to satisfy users with specific interests. To better balance coherence and coverage of the summarization, snippets rather than sentences or paragraphs are used as textual components. Topic signature is employed in snippet extraction and selection in order to emphasize the topic-biased information. Experiments conducted on real data demonstrate a good coverage, topic-relevancy, and content coherence of the summaries generated by our approach.

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Author information

Authors and Affiliations

  1. Department of Machine Intelligence, Peking University, Beijing, 100871, China

    Pingping Lin, Shize Xu & Yan Zhang

  2. Key Laboratory on Machine Perception, Ministry of Education, Beijing, 100871, China

    Pingping Lin, Shize Xu & Yan Zhang

Authors
  1. Pingping Lin
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  2. Shize Xu
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  3. Yan Zhang
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Editor information

Editors and Affiliations

  1. Institute of Visual Informatic, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

    Azizah Jaafar

  2. Institute of Visual Informatics, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

    Nazlena Mohamad Ali

  3. Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

    Shahrul Azman Mohd Noah

  4. Insight Centre for Data Analytics, Dublin City University, Glasnevin, 9, Dublin, Ireland

    Alan F. Smeaton

  5. Information Systems, Queensland University of Technology, 4001, Brisbane, QLD, Australia

    Peter Bruza

  6. Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia

    Zainab Abu Bakar  & Nursuriati Jamil  & 

  7. Cyber Security Center, Universiti Pertahanan Nasional Malaysia, Kem Sungai Besi, 57000, Kuala Lumpur, Malaysia

    Tengku Mohd Tengku Sembok

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© 2014 Springer International Publishing Switzerland

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Lin, P., Xu, S., Zhang, Y. (2014). Topic-Focused Summarization of News Events Based on Biased Snippet Extraction and Selection. In: Jaafar, A., et al. Information Retrieval Technology. AIRS 2014. Lecture Notes in Computer Science, vol 8870. Springer, Cham. https://doi.org/10.1007/978-3-319-12844-3_3

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  • DOI: https://doi.org/10.1007/978-3-319-12844-3_3

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12843-6

  • Online ISBN: 978-3-319-12844-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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