Nothing Special   »   [go: up one dir, main page]

Skip to main content

Word Sense Disambiguation by Relative Selection

  • Conference paper
Natural Language Processing – IJCNLP 2005 (IJCNLP 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3651))

Included in the following conference series:

  • 1582 Accesses

Abstract

This paper describes a novel method for a word sense disambiguation that utilizes relatives (i.e. synonyms, hypernyms, meronyms, etc in WordNet) of a target word and raw corpora. The method disambiguates senses of a target word by selecting a relative that most probably occurs in a new sentence including the target word. Only one co-occurrence frequency matrix is utilized to efficiently disambiguate senses of many target words. Experiments on several English datum present that our proposed method achieves a good performance.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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.

Similar content being viewed by others

References

  1. Fellbaum, C.: An WordNet Electronic Lexical Database. The MIT Press, Cambridge (1998)

    MATH  Google Scholar 

  2. Schütze, H.: Automatic word sense discrimination. Computational Linguistics 24, 97–123 (1998)

    Google Scholar 

  3. Lesk, M.: Automatic sense disambiguation using machine readable dictionaries: How to tell a pine cone from an ice cream cone. In: Proceedings of the 5th annual international conference on Systems documentation, Toronto, Ontario, Canada, pp. 24–26 (1986)

    Google Scholar 

  4. Karov, Y., Edelman, S.: Similarity-based word sense disambiguation. Computational Linguistics 24, 41–59 (1998)

    Google Scholar 

  5. Haynes, S.: Semantic tagging using WordNet examples. In: Proceedings of SENSEVAL-2 Second International Workshop on Evaluating Word Sense Disambiguation Systems, Toulouse, France, pp. 79–82 (2001)

    Google Scholar 

  6. Agirre, E., Rigau, G.: Word sense disambiguation using conceptual density. In: Proceedings of COLING 1996, Copenhagen Denmark, pp. 16–22 (1996)

    Google Scholar 

  7. Fernandez-Amoros, D., Gonzalo, J., Verdejo, F.: The role of conceptual relations in word sense disambiguation. In: Proceedings of the 6th International Workshop on Applications of Natural Language for Information Systems, Madrid, Spain, pp. 87–98 (2001)

    Google Scholar 

  8. Yarowsky, D.: Word-sense disambiguation using statistical models of Roget’s categories trained on large corpora. In: Proceedings of COLING-1992, Nantes, France, pp. 454–460 (1992)

    Google Scholar 

  9. Leacock, C., Chodorow, M., Miller, G.A.: Using corpus statistics and WordNet relations for sense identification. Computational Linguistics 24, 147–165 (1998)

    Google Scholar 

  10. Agirre, E., Martinez, D.: Unsupervised wsd based on automatically retrieved examples: The importance of bias. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Barcelona, Spain (2004)

    Google Scholar 

  11. Lee, L.: Similarity-Based Approaches to Natural Language Processing. PhD thesis, Harvard University, Cambridge, MA (1997)

    Google Scholar 

  12. Miller, G.A., Leacock, C., Tengi, R., Bunker, R.: A semantic concordance. In: Proceedings of the 3 DARPA Workshop on Human Language Technology, pp. 303–308 (1993)

    Google Scholar 

  13. Marcus, M.P., Santorini, B., Marcinkiewicz, M.A.: Building a large annotated corpus of english: The penn treebank. Computational Linguistics 19, 313–330 (1994)

    Google Scholar 

  14. Schmid, H.: Probabilistic part-of-speech tagging using decision trees. In: Proceedings of the Conference on New Methods in Language Processing, Manchester, UK (1994)

    Google Scholar 

  15. Fernandez-Amoros, D., Gonzalo, J., Verdejo, F.: The UNED systems at SENSEVAL-2. In: Proceedings of SENSEVAL-2 Second International Workshop on Evaluating Word Sense Disambiguation Systems, Toulouse, France, pp. 75–78 (2001)

    Google Scholar 

  16. Litkowski, K.: SENSEVAL-2:overview. In: Proceedings of SENSEVAL-2 Second International Workshop on Evaluating Word Sense Disambiguation Systems, Toulouse, France, pp. 107–110 (2001)

    Google Scholar 

  17. Strapparava, C., Gliozzo, A., Giuliano, C.: Pattern abstraction and term similarity for word sense disambiguation: Irst at senseval-3. In: Proceedings of SENSEVAL-3: Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text, Barcelona, Spain, pp. 229–234 (2004)

    Google Scholar 

  18. Fernandez-Amoros, D.: Wsd based on mutual information and syntactic patterns. In: Proceedings of SENSEVAL-3: Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text, Barcelona, Spain, pp. 117–120 (2004)

    Google Scholar 

  19. Buscaldi, D., Rosso, P., Masulli, F.: The upv-unige-ciaosenso wsd system. In: Proceedings of SENSEVAL-3: Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text, Barcelona, Spain, pp. 77–82 (2004)

    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

Seo, HC., Rim, HC., Jang, MG. (2005). Word Sense Disambiguation by Relative Selection. In: Dale, R., Wong, KF., Su, J., Kwong, O.Y. (eds) Natural Language Processing – IJCNLP 2005. IJCNLP 2005. Lecture Notes in Computer Science(), vol 3651. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11562214_80

Download citation

  • DOI: https://doi.org/10.1007/11562214_80

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29172-5

  • Online ISBN: 978-3-540-31724-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics