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Pacific-Asia Conference on Knowledge Discovery and Data Mining

PAKDD 2013: Advances in Knowledge Discovery and Data Mining pp 354–365Cite as

Leveraging Hybrid Citation Context for Impact Summarization

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7818))

Abstract

Impact summarization aims to highlight the influential aspects of a cited paper by selecting a few representative citation sentences into the summary. Most existing work considers only the citation sentence information while the hybrid citation context associated with each citation sentence has been ignored. This paper proposes a context-aware approach. In the approach, different kinds of relationships among papers and authors are leveraged to jointly infer the impact of hybrid citation context, which is further integrated in a sentence language smoothing model to measure citation sentence relationships more effectively. The experimental results show that the proposed approach can achieve significantly better results than several baselines.

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Author information

Authors and Affiliations

  1. Computer School, Wuhan University, China

    Po Hu, Yujing Guo & Donghong Ji

  2. Computer School, Central China Normal University, China

    Po Hu

  3. International School of Software, Wuhan University, China

    Jiacong He

Authors
  1. Po Hu
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  2. Yujing Guo
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  3. Donghong Ji
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  4. Jiacong He
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Editor information

Editors and Affiliations

  1. School of Computing Science, Simon Fraser University, 8888 University Drive, V5A 1S6, Burnaby, BC, Canada

    Jian Pei

  2. Dept. of Computer Science and Information Engineering, Institute of Medical Informatics, National Cheng Kung University, Tainan, Taiwan

    Vincent S. Tseng

  3. Faculty of Engineering and Information Technology, University of Technology Sydney, Broadway, P.O. Box 123, 2007, Sydney, NSW, Australia

    Longbing Cao  & Guandong Xu  & 

  4. Asian Office of Aerospace Research and Development (AOARD), Air Force Office of Scientific Research (AFOSR), Air Force Research Laboratory USA, Osaka University, 7-23-17 Roppongi, 106-0032, Minato-ku, Tokyo, Japan

    Hiroshi Motoda

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© 2013 Springer-Verlag Berlin Heidelberg

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Hu, P., Guo, Y., Ji, D., He, J. (2013). Leveraging Hybrid Citation Context for Impact Summarization. In: Pei, J., Tseng, V.S., Cao, L., Motoda, H., Xu, G. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2013. Lecture Notes in Computer Science(), vol 7818. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37453-1_29

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  • DOI: https://doi.org/10.1007/978-3-642-37453-1_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37452-4

  • Online ISBN: 978-3-642-37453-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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