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Information extraction as a core language technology

  • Yorick Wilks
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1299)

Keywords

Information Retrieval Natural Language Processing Machine Translation Information Retrieval System Text Corpus 
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.

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References

  1. 1.
    P.M. Andersen, P.J. Hayes, A.K. Huettner, I.B. Nirenburg, L.M. Schmandt, and S.P. Weinstein. Automatic extraction of facts from press releases to generate news stories. In Proceedings of the Third Conference on Applied Natural Language Processing, pages 170–177. Association for Computational Linguistics, 1992.Google Scholar
  2. 2.
    R. Basili, M. Pazienza, and P. Velardi. Aquisition of selectional patterns from sublanguages. Machine Translation, 8, 1993.CrossRefGoogle Scholar
  3. 3.
    B. Boguraev and T. Briscoe, editors. Computational Lexicography for Natural Language Processing. Longman, London, 1989.Google Scholar
  4. 4.
    E. Charniak. Statistical Language Learning. MIT Press, 1993.Google Scholar
  5. 5.
    J. Cowie. Automatic analysis of descriptive texts. In Proceedings of the Conference on Applied natural language Processing, 1983.Google Scholar
  6. 6.
    J. Cowie and W. Lehnert. Information extraction. Special NLP Issue of the Communications of the ACM, 1996.Google Scholar
  7. 7.
    G DeJong. An overview of the frump system. In W. Lehnert and M. Ringle, editors, Strategies for Natural Language Processing. Lawrence Erlbaum Associates, Hillsdale, NJ, 1982.Google Scholar
  8. 8.
    R. Gaizauskas, T. Wakao, K. Humphreys, H. Cunningham, and Y. Wilks. University of Sheffield: Description of the LaSIE System as used for MUC-6. In Proceedings of the Sixth Message Understanding Conference (MUC-6), Columbia, Maryland, USA, November 1995.Google Scholar
  9. 9.
    Pustejovsky J. Wilks Y. & Slator B Guthrie, L. The role of lexicons in natural language processing. Communications of the ACM, 39(1), 1996.Google Scholar
  10. 10.
    J.R. Hobbs. The generic information extraction system. In Proceedings of the Fifth Message Understanding Conference (MUC-5). Morgan Kaufman, 1993.Google Scholar
  11. 11.
    N. Sager. Natural Language Information Processing. Addison-Wesley, Reading, Massachusetts, 1981.Google Scholar
  12. 12.
    Y. Wilks. Text searching with templates. Technical Report ML 162, Cambridge Language Research Unit, 1987.Google Scholar
  13. 13.
    Y. A. Wilks. Making preferences more active. Artificial Intelligence, 11, 1978.CrossRefGoogle Scholar
  14. 14.
    Y. A. Wilks, B. M. Slator, and L. M. Guthrie. Electric Words: Dictionaries, Computers and Meanings. MIT Press, 1996.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Yorick Wilks
    • 1
  1. 1.Computer Science DepartmentUniversity of SheffieldUK

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