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Entity Recognition and Linking in Chinese Search Queries

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Natural Language Processing and Chinese Computing (NLPCC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9362))

Abstract

Aiming at the task of Entity Recognition and Linking in Chinese Search Queries in NLP&CC 2015, this paper proposes the solutions to entity recognition, entity linking and entity disambiguation. Dictionary, online knowledge base and SWJTU Chinese word segmentation are used in entity recognition. Synonyms thesaurus, redirect of Wikipedia and the combination of improved PED (Pinyin Edit Distance) algorithm and LCS (Longest Common Subsequence) are applied in entity linking. The methods of suffix supplement and link value computation based on online encyclopedia are adopted in entity disambiguation. The experiment results indicate that the proposed solutions in this paper are effective for the case of short queries and insufficient contexts.

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Author information

Authors and Affiliations

  1. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China

    Jinwei Yuan, Yan Yang, Zhen Jia & Junfu Huang

  2. DOCOMO Innovations Incorporation, Palo Alto, USA

    Hongfeng Yin

  3. Department of Computer Science, Tibet University, Tibet, China

    Jie Zhu

Authors
  1. Jinwei Yuan
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  2. Yan Yang
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  3. Zhen Jia
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  4. Hongfeng Yin
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  5. Junfu Huang
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  6. Jie Zhu
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Corresponding author

Correspondence to Yan Yang .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Juanzi Li

  2. Rensselaer Polytechnic Institute, Troy, NY, USA

    Heng Ji

  3. Peking University, Beijing, China

    Dongyan Zhao

  4. Peking University, Beijing, China

    Yansong Feng

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Yuan, J., Yang, Y., Jia, Z., Yin, H., Huang, J., Zhu, J. (2015). Entity Recognition and Linking in Chinese Search Queries. In: Li, J., Ji, H., Zhao, D., Feng, Y. (eds) Natural Language Processing and Chinese Computing. NLPCC 2015. Lecture Notes in Computer Science(), vol 9362. Springer, Cham. https://doi.org/10.1007/978-3-319-25207-0_47

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  • DOI: https://doi.org/10.1007/978-3-319-25207-0_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25206-3

  • Online ISBN: 978-3-319-25207-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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