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A Context-Aware Model Using Distributed Representations for Chinese Zero Pronoun Resolution

  • Conference paper
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Social Computing (ICYCSEE 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 623))

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Abstract

Previous approaches to Chinese zero pronoun resolution mainly use syntactic information and probabilistic methods, but the context information is ignored. To make full use of the context and semantic information, we build a context-aware model. We propose a key words extraction strategy and design a classification model by using distributed representations as context feature. To our best knowledge, this is the first work using distributed representations in Chinese zero pronoun resolution. Experimental results show that our approach achieves a better performance than previous supervised methods.

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Authors and Affiliations

  1. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

    Bingbing Wu & Tiejun Zhao

Authors
  1. Bingbing Wu
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  2. Tiejun Zhao
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Corresponding author

Correspondence to Bingbing Wu .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology , Harbin, China

    Wanxiang Che

  2. Harbin Engineering University , Harbin, China

    Qilong Han

  3. Harbin Institute of Technology , Harbin, China

    Hongzhi Wang

  4. Northeast Forestry University , Harbin, China

    Weipeng Jing

  5. National University of Defense Technology , Changsha, China

    Shaoliang Peng

  6. Harbin Engineering University , Harbin, China

    Junyu Lin

  7. Harbin Univ. of Science and Technology , Harbin, China

    Guanglu Sun

  8. Harbin Univ. of Science and Technology , Harbin, China

    Xianhua Song

  9. Harbin Engineering University , Harbin, China

    Hongtao Song

  10. Harbin Sea of Clouds & Computer Tech. , Harbin, China

    Zeguang Lu

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Wu, B., Zhao, T. (2016). A Context-Aware Model Using Distributed Representations for Chinese Zero Pronoun Resolution. In: Che, W., et al. Social Computing. ICYCSEE 2016. Communications in Computer and Information Science, vol 623. Springer, Singapore. https://doi.org/10.1007/978-981-10-2053-7_1

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  • DOI: https://doi.org/10.1007/978-981-10-2053-7_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2052-0

  • Online ISBN: 978-981-10-2053-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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