Skip to main content

Zero Pronoun Resolution Based on Automatically Constructed Case Frames and Structural Preference of Antecedents

  • Conference paper
Natural Language Processing – IJCNLP 2004 (IJCNLP 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3248))

Included in the following conference series:

  • 1594 Accesses

Abstract

This paper describes a method to detect and resolve zero pronouns in Japanese text. We detect zero pronouns by case analysis based on automatically constructed case frames, and select their appropriate antecedents based on similarity to examples in the case frames. We also introduce structural preference of antecedents to precisely capture the tendency that a zero pronoun has its antecedent in its close position. Experimental results on 100 articles indicated that the precision and recall of zero pronoun detection is 87.1% and 74.8% respectively and the accuracy of antecedent estimation is 61.8%.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. McCarthy, J.F., Lehnert, W.G.: Using decision trees for coreference resolution. In: Proceedings of the 14th International Joint Conference on Artificial Intelligence, pp. 1050–1055 (1995)

    Google Scholar 

  2. Murata, M., Isahara, H., Nagao, M.: Pronoun resolution in Japanese sentences using surface expressions and examples. In: Proceedings of the ACL 1999 Workshop on Coreference and Its Applications, pp. 39–46 (1999)

    Google Scholar 

  3. Soon, W.M., Ng, H.T., Lim, D.C.Y.: A machine learning approach to coreference resolution of noun phrases. Computational Linguistics 27, 521–544 (2001)

    Article  Google Scholar 

  4. Kawahara, D., Kurohashi, S.: Fertilization of case frame dictionary for robust Japanese case analysis. In: Proceedings of the 19th International Conference on Computational Linguistics, pp. 425–431 (2002)

    Google Scholar 

  5. Seki, K., Fujii, A., Ishikawa, T.: A probabilistic method for analyzing Japanese anaphora integrating zero pronoun detection and resolution. In: Proceedings of the 19th International Conference on Computational Linguistics, pp. 911–917 (2002)

    Google Scholar 

  6. Aone, C., Bennett, S.W.: Evaluating automated and manual acquisition of anaphora resolution strategies. In: Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics, pp. 122–129 (1995)

    Google Scholar 

  7. Kurohashi, S., Nagao, M.: A method of case structure analysis for japanese sentences based on examples in case frame dictionary. IEICE Transactions on Information and Systems E77-D(2) (1994)

    Google Scholar 

  8. Kawahara, D., Kurohashi, S., Hasida, K.: Construction of a Japanese relevancetagged corpus. In: Proceedings of the 3rd International Conference on Language Resources and Evaluation, pp. 2008–2013 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kawahara, D., Kurohashi, S. (2005). Zero Pronoun Resolution Based on Automatically Constructed Case Frames and Structural Preference of Antecedents. In: Su, KY., Tsujii, J., Lee, JH., Kwong, O.Y. (eds) Natural Language Processing – IJCNLP 2004. IJCNLP 2004. Lecture Notes in Computer Science(), vol 3248. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30211-7_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30211-7_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24475-2

  • Online ISBN: 978-3-540-30211-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics