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Deriving concept hierarchies from text

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Published:01 August 1999Publication History
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References

  1. Alta Vista, www.altavista.comGoogle ScholarGoogle Scholar
  2. Bourdoncle F. (1997) LiveTopics: recherche visuelle d'information sur l'Internet (LiveTopics: visual search for information on the Internet) in the Proceedings of RIAO: 651- 654.Google ScholarGoogle Scholar
  3. DHTMLAB, www.dhtmlab.comGoogle ScholarGoogle Scholar
  4. Hearst M.A., Pedersen J.O. (1996): Reexamining the Cluster Hypothesis: Scatter~Gather on Retrieval Results, in the Proceedings of the ACM SIGIR, 19. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Doyle L.B. (1961): Semantic Road Maps for Literature Searchers in the Journal of the Association of Computing Machinery (ACM), 8(4): 553-578. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Forsyth R., Rada R. (1986): Adding an edge in Machine Learning: applications in expert systems and information retrieval, Ellis Horwood Ltd: 198-212. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Greffenstette G. (1994): Explorations in automatic thesaurus discovery, Kluwer Academic Publishers Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Grefenstette G. (1997): SQLET:Short Query Linguistic Expansion Techniques, Palliating One-Word Queries by Providing Intermediate Structure to Text, in the Proceedings of RIAO: 500- 509. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Hearst M.A. (1998): Automated Discovery of WordNet Relations, in WordNet: an electronic lexical database, Christiane Fellbaum (Ed.), MIT Press.Google ScholarGoogle Scholar
  10. Miller G.A. (1995): WordNet: A lexical database for english, in the Communications of the ACM, 38(11): 39-41. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Ng H.T., Lee H.B. (1996): Integrating Multiple Knowledge Sources to Disambiguate Word Sense: An Exemplar-Based Approach, in the Proceedings of the ACL, 34: 40-47. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Pirolli P., Schank P., Hearst M.A., Diehl C. (1996): Scatter~Gather Browsing Communicates the Topic Structure of a Very Large Text Collection, in the Proceedings of ACM CHI Conference on Human Factors in Computing Systems: 213-220. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Spark Jones K. (1972): A statistical interpretation of term specificity and its application in retrieval, in the Journal of Documentation, 28(1): 11-21.Google ScholarGoogle Scholar
  14. Thompson R.H., Croft W.B. (1989): Support for browsing in an intelligent text retrieval system, in the International Journal of Man Machine Studies, 30: 639-668. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Van Rijsbergen C.J. (1979): Information retrieval (second edition), Chapter 3, Butterworths, London. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. TREC 97, The Sixth Text REtrieval Conference (TREC-6), Editors: E. M. Voorhees and D. K. Harman, Department of Commerce, National Institute of Standards and TechnologyGoogle ScholarGoogle Scholar
  17. Woods W.A. (1997): Conceptual Indexing: A Better Way to Organize Knowledge, a Sun Labs Technical Report: TR-97-61. Editor, Technical Reports, 901 San Antonio Road, Palo Alto, California 94303, USA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Xu J., Croft W.B (1996): Query Expansion Using Local and Global Document Analysis, in the Proceedings of the 19th International Conference on Research and Development in Information Retrieval (SIGIR 96) ,Zurich, Switzerland, pp. 4-11. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Yahoo, www.yahoo.comGoogle ScholarGoogle Scholar
  20. Yarowsky D. (1995): Unsupervised word sense disambiguation rivaling supervised methods, in the Proceedings of the ACL, 33. Google ScholarGoogle ScholarDigital LibraryDigital Library

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        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

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        • Published: 1 August 1999

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

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