Advertisement

Discovering Relationships among Word Senses

  • Roy J. Byrd
Chapter
Part of the Linguistica Computazionale book series (LICO, volume 9)

Abstract

The direction that future development of natural language processing systems will take is toward increased semantic capability. Systems will need to behave as though they understand the texts that they process. An important prerequisite for this type of behavior is the creation of lexical knowledge bases in which word senses are clearly identified, endowed with appropriate lexical information, and correctly related to one another. This paper discusses issues that arise in creating such a knowledge base, paying particular attention to the process of discovering relationships among the word senses it contains.

Keywords

Noun Phrase Word Sense Sense Number Computational Linguistics Selectional Restriction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    Amsler, R. A., “The Structure of the Merriam-Webster Pocket Dictionary,” Doctoral Dissertation, TR-164, University of Texas, Austin, Texas, 1980.Google Scholar
  2. [2]
    Atkins, B. T., “Semantic ID tags: Corpus Evidence for Dictionary Senses,” in The Uses of Large Text Databases: Proceedings of the Third Annual Conference of the University of Waterloo Centre for the New Oxford English Dictionary, 1987, 17–36.Google Scholar
  3. [3]
    Atkins, B. T., and B. Levin, “Admitting Impediments,” in Information in Text: Proceedings of the Fourth Annual Conference of the University of Waterloo Centre for the New Oxford English Dictionary, 1988, 97–113.Google Scholar
  4. [4]
    Byrd, R. J., “Word Formation in Natural Language Processing Systems,” in Proceedings of IJCAI-VIII, 1983, 704–706.Google Scholar
  5. [5]
    Byrd, R. J., N. Calzolari, M. S. Chodorow, J. L. Klavans, M. S. Neff, and O. A. Rizk, “Tools and Methods for Computational Lexicology,” Computational Linguistics, 13 (3–4), 1987, 219–240.Google Scholar
  6. [6]
    Chodorow, M. S., R. J. Byrd, and G. E. Heidorn, “Extracting Semantic Hierarchies from a Large On-line Dictionary,” in Proceedings of the Association for Computational Linguistics, 1985, 299–304.Google Scholar
  7. [7]
    Chodorow, M. S., Y. Ravin and H. E. Sachar, “A Tool for Investigating the Synonomy Relation in a Sense Disambiguated Thesaurus,” in Proceedings of the Second ACL Conference on Applied Natural Language Processing, Austin, Texas, 1988, 144–151.Google Scholar
  8. [8]
    Grishman, R. and R. Kittredge, Analysing Language in Restricted Domains, Erlbaum, 1986.Google Scholar
  9. [9]
    Heidom, G. E., K. Jensen, L. A. Miller, R. J. Byrd, and M. S. Chodorow, “The EPISTLE Text-Critiquing System,” IBM Systems Journal, 21 (3), 1982, 305–326.CrossRefGoogle Scholar
  10. [10]
    Jensen, K., “Parsing strategies in a broad-coverage grammar of English,” IBM Research Report RC12147, IBM T. J. Watson Research Center, Yorktown Heights, New York, 1986Google Scholar
  11. [11]
    Jensen, K. and J.-L. Binot, “Disambiguating Prepositional Phrase Attachments by Using On-line Dictionary Definitions,” Computational Linguistics, 13 (3–4), 1987, 251–260.Google Scholar
  12. [12]
    Klavans, J. L. and N. Wacholder, “Documentation of Features and Attributes in UDICT,” IBM Research Report RC14251, IBM T. J. Watson Research Center, Yorktown Heights, New York, 1987.Google Scholar
  13. [13]
    Lesk, M., “Automatic Sense Disambiguation Using Machine-readable Dictionaries: How to Tell a Pine Cone from an Ice Cream Cone,” in Proceedings of the 1986 SIGDOC Conference, 1986.Google Scholar
  14. [14]
    Neff, M. S., R. J. Byrd, and O. A. Rizk, “Creating and Querying Hierarchical Lexical Data Bases,” in Proceedings of the Second ACL Conference on Applied Natural Language Processing, Austin, Texas, 1988, 84–92.CrossRefGoogle Scholar
  15. [15]
    Neff, M. S., and B. K. Boguraev, “Dictionaries, dictionary grammars, and dictionary entry parsing,” in Proceedings of the 27th Annual Meeting of the Association for Computational Linguistics, 1989, 91–101.Google Scholar
  16. [16]
    Nirenberg, S. and V. Raskin, “The subworld concept lexicon and the lexicon management system,” Computational Linguistics, 13 (3–4), 1987, 276–289.Google Scholar
  17. [17]
    Rizk, O. A., “Sense Disambiguation of Word Translations in Bilingual Dictionaries: Trying to Solve the Mapping Problem Automatically,” master’s thesis, Courant Institute of Mathematical Sciences, New York University, New York, New York, 1989; also available as IBM Research Report RC14666, IBM T. J. Watson Research Center, Yorktown Heights, New York, 1989.Google Scholar

Dictionaries

  1. [18]
    Collins-Robert English-French Dictionary, Collins, London and Glasgow, 1978.Google Scholar
  2. [19]
    Longman Dictionary of Contemporary English, Longman, Harlow, England, 1978Google Scholar
  3. [20]
    The New Collins Thesaurus, Collins, London and Glasgow, 1984.Google Scholar
  4. [21]
    Roget’s II: The New Thesaurus, Houghton Mifflin, Boston, 1980.Google Scholar
  5. [22]
    Webster’s Seventh New Collegiate Dictionary, G. & C. Merriam, Springfield, Massachusetts, 1963.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 1994

Authors and Affiliations

  • Roy J. Byrd
    • 1
  1. 1.IBM Thomas J. Watson Research CenterUSA

Personalised recommendations