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Towards High-Quality Semantic Entity Detection over Online Forums

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Social Informatics (SocInfo 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6984))

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Abstract

User-generated content (UGC) implies user-behaviors. Mining on such data helps understanding the relationship between social media and the real world. Howevr, UGC is usually of low quality, which results in the difficulty of semantic entity extraction. In this paper, we propose a method towards high-quality semantic entity refinement on forums by employing external resources. Experiments on real-life Chinese online forums show the effectiveness of our method.

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Author information

Authors and Affiliations

  1. Institute of Massive Computing, Software Engineering Institute, East China Normal University, China

    Juan Du, Weiming Zhang, Peng Cai, Linling Ma, Weining Qian & Aoying Zhou

Authors
  1. Juan Du
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  2. Weiming Zhang
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  3. Peng Cai
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  4. Linling Ma
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  5. Weining Qian
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  6. Aoying Zhou
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Editor information

Editors and Affiliations

  1. School of Computer Engineering, Nanyang Technological University (NTU), Block N4, Nanyang Avenue, 639798, Singapore

    Anwitaman Datta

  2. University of Massachusetts Amherst, Thompson Hall, 200 Hicks Way, 01003, Amherst, MA, USA

    Stuart Shulman

  3. Singapore Management University, Singapore

    Baihua Zheng

  4. Graduate Institute of Networking and Multimedia, Department of Computer Science and Information Engineering, National Taiwan University,, Roosevelt Rd., 10617, Taipei, Taiwan

    Shou-De Lin

  5. School of Computer Engineering, Nanyang Technological University, Block N4, Nanyang Avenue, 639798, Singapore

    Aixin Sun

  6. School of Information Systems, Singapore Management University, 80 Stamford Rd, 178902, Singapore

    Ee-Peng Lim

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© 2011 Springer-Verlag Berlin Heidelberg

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Du, J., Zhang, W., Cai, P., Ma, L., Qian, W., Zhou, A. (2011). Towards High-Quality Semantic Entity Detection over Online Forums. In: Datta, A., Shulman, S., Zheng, B., Lin, SD., Sun, A., Lim, EP. (eds) Social Informatics. SocInfo 2011. Lecture Notes in Computer Science, vol 6984. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24704-0_31

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  • DOI: https://doi.org/10.1007/978-3-642-24704-0_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24703-3

  • Online ISBN: 978-3-642-24704-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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