skip to main content
10.1145/312624.312677acmconferencesArticle/Chapter ViewAbstractPublication PagesirConference Proceedingsconference-collections
Article
Free Access

Combining multiple evidence from different types of thesaurus for query expansion

Authors Info & Claims
Published:01 August 1999Publication History
First page image

References

  1. 1.C. Buckley and G. Salton. The effect of adding relevance information in a relevance feedback environment. In Proceedings of the 17th A CM SIGIR Conference, pp. 292-300, 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. 2.H. Chen, B. Schatz, T. Yim, and D. Fye. Automatic thesaurus generation for an electronic community system. Journal of American Society for Information Science, Vol. 46, No. 3, pp. 175-193, 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. 3.Carolyn J. Crouch. An aproach to the automatic construction of global thesauri. Information Processing and Management, Vol. 26, No. 5, pp. 629-640, 1990. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. 4.F.C. Ekmekcioglu. Effectiveness of query expansion in ranked-output document retrieval systems. Journal of Information Science, Vol. 18, pp. 139-147, 1992. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. 5.Edward A. Fox. Lexical relations enhancing effectiveness of information retrieval systems. SIGIR Forum, Vol. 15, No. 3, pp. 6-36, 1980. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. 6.Gregory. Grafenstette. Explorations in Automatic Thesaurus Discovery. Kluwer Academic Publisher, 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. 7.G. Grefenstette. Use of syntactic context to produce term association lists for text retrieval. In Proceedings of the 15th A CM SIGIR Conference, pp. 89-97, 1992. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. 8.Marti A. Hearst. Multi-paragraph segmentation of expository text. In Proceedings of 32th Annual Meeting of the ACL, pp. 9-16, 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. 9.Marti A. Hearst. Texttiling: Segmenting text into multi-paragraph subtopic passages. Computational Linguistics, Vol. 23, No. 1, pp. 33-64, 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. 10.Marti A Hearst and Christian Plaunt. Subtopic structuring for full-length document access. In Proceedings of 16th Annual International A CM-SIGIR Conference on Research and Development in Information Retrieval, pp. 59-68, 1993. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. 11.D. Hindle. Noun classification from predicate-argument structures. In Proceedings of 28th Annual Meeting of the ACL, pp. 268-275, 1990. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. 12.Y. Jing and B. Croft. An association thesaurus for information retrieval. In Proceedings of RIA O, pp. 146- 160, 1994.Google ScholarGoogle Scholar
  13. 13.R. Mandala, T. Tokunaga, H. Tanaka, A. Okumura, and K. Satoh. Adhoc retrieval experiments using WordNet and automatically constructed thesauri. In Proceedings of the Seventh Text REtrieval Conference (TREC-7), 1999. NIST Special Publication.Google ScholarGoogle Scholar
  14. 14.G.A Miller. Wordnet: An on-line lexical database. Special Issue of the International Journal of Lexicography, Vol. 3, No. 4, 1990.Google ScholarGoogle Scholar
  15. 15.J.H. Peat and P. Willett. The limitations of term cooccurrence data for query expansion in document retrieval systems. Journal of American Society for Information Science, Vol. 42, No. 5, pp. 378-383, 1991.Google ScholarGoogle ScholarCross RefCross Ref
  16. 16.Qiu and H.P. Frei. Concept based query expansion. In Proceedings of the 16th A CM SIGIR Conference, pp. 160-169, 1993. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. 17.Philip Resnik. Using information content to evaluate semantic similarity in a taxonomy. In Proceedings of the l~th International Joint Conference on Artificial Intelligence (IJCAI-95), pp. 448-453, 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. 18.G Ruge. Experiments on linguistically-based term associations. Information Processing and Management, Vol. 28, No. 3, pp. 317-332, 1992. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. 19.G. Salton. The SMART Retrieval System Experiments in Automatic Document Processing. Prentice- Hall, 1971. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. 20.G. Salton and C. Buckley. Improving retrieval performance by relevance feedback. Journal of American Society for Information Science, Vol. 41, No. 4, pp. 288- 297, 1990.Google ScholarGoogle ScholarCross RefCross Ref
  21. 21.G. Salton and M McGill. An Introduction to Modern Information Retrieval. McGraw-Hill, 1983. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. 22.H. Schutze and J.O. Pederson. A cooccurrence-based thesaurus and two applications to information retrieval. In Proceedings of RIA 0 Conference, pp. 266-274, 1994.Google ScholarGoogle Scholar
  23. 23.H. Schutze and J.O Pederson. A cooccurrence-based thesaurus and two applications to information retrieval. Information Processing and Management, Vol. 33, No. 3, pp. 307-318, 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. 24.S. Sekine and R. Grishman. A corpus-based probabilistic grammar with only two non-terminals. In Proceedings of the International Workshop on Parsing Technologies, 1995.Google ScholarGoogle Scholar
  25. 25.A.F. Smeaton and C. Berrut. Thresholding postings lists, query expansion by word-word distances and POS tagging of Spanish text. In Proceedings of The Fourth Text Retrieval Conference, 1996.Google ScholarGoogle Scholar
  26. 26.E.M. Voorhees. Using WordNet to disambiguate word senses for text retrieval. In Proceedings of the 16th ACM-SIGIR Conference, pp. 171-180, 1993. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. 27.E.M. Voorhees. Query expansion using lexical-semantic relations. In Proceedings of the 17th A CM-SIGIR Conference, pp. 61-69, 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. 28.E.M. Voorhees and D. Harman. Overview of the seventh text retrieval conference (TREC-7). In Proceedings of the Seventh Text REtrieval Conference, 1999. NIST Special Publication. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Combining multiple evidence from different types of thesaurus for query expansion

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          SIGIR '99: Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
          August 1999
          339 pages
          ISBN:1581130961
          DOI:10.1145/312624

          Copyright © 1999 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 1 August 1999

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • Article

          Acceptance Rates

          SIGIR '99 Paper Acceptance Rate33of135submissions,24%Overall Acceptance Rate792of3,983submissions,20%

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader