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Integrating Structural Context with Local Context for Disambiguating Word Senses

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Natural Language Understanding and Intelligent Applications (ICCPOL 2016, NLPCC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10102))

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Abstract

A novel word sense disambiguation (WSD) discriminative model is proposed in this paper to handle long distance sense dependency and multi-reference lexicon dependency (i.e., the sense of a lexicon might depend on several other non-local lexicons under the same subtree) within the sentence. Many WSD systems only adopt local context to independently decide the sense of each lexicon in a sentence. However, the sense of a target word actually also depends on those structure related sense/lexicons that might be far away from it. Therefore, we propose a supervised approach which integrates structural context (for long distance sense dependency and multi-reference lexicon dependency) with the local context (for local dependency) to handle the problems mentioned above. As the result, the sense of each word is decided not only based on the local lexicons, but also based on various reference sense/lexicons (might be non-local) specified by all its associated syntactic subtrees. Experimental results show that the proposed approach significantly outperforms other state-of-art WSD systems.

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Notes

  1. 1.

    Which words should be assigned senses depends on the given task.

  2. 2.

    http://nlp.cs.berkeley.edu/software.shtml.

  3. 3.

    http://stp.lingfil.uu.se/~nivre/research/Penn2Malt.html.

  4. 4.

    http://homepages.inf.ed.ac.uk/lzhang10/maxent.html.

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Acknowledgements

The research work has been funded by the Natural Science Foundation of China under Grant No. 61333018.

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Authors and Affiliations

  1. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science, Beijing, China

    Qianlong Du & Chengqing Zong

  2. University of Chinese Academy of Sciences, Beijing, China

    Qianlong Du & Chengqing Zong

  3. Institute of Information Science, Academia Sinica, Taipei, Taiwan

    Keh-Yih Su

Authors
  1. Qianlong Du
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  2. Chengqing Zong
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  3. Keh-Yih Su
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Corresponding author

Correspondence to Chengqing Zong .

Editor information

Editors and Affiliations

  1. Microsoft Research Asia, Beijing, China

    Chin-Yew Lin

  2. Brandeis University, Waltham, Massachusetts, USA

    Nianwen Xue

  3. Peking University, Beijing, China

    Dongyan Zhao

  4. Fudan University, Shanghai, China

    Xuanjing Huang

  5. Peking University, Beijing, China

    Yansong Feng

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Du, Q., Zong, C., Su, KY. (2016). Integrating Structural Context with Local Context for Disambiguating Word Senses. In: Lin, CY., Xue, N., Zhao, D., Huang, X., Feng, Y. (eds) Natural Language Understanding and Intelligent Applications. ICCPOL NLPCC 2016 2016. Lecture Notes in Computer Science(), vol 10102. Springer, Cham. https://doi.org/10.1007/978-3-319-50496-4_1

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  • DOI: https://doi.org/10.1007/978-3-319-50496-4_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50495-7

  • Online ISBN: 978-3-319-50496-4

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