A cooccurrence-based thesaurus and two applications to information retrieval

Information Processing and Management

Volumn 33, Issue 3, 1997, Pages 307-318

  Schütze, Hinrich ^a   Pedersen, Jan O ^a  

^a PALO ALTO RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; VECTORS; VOCABULARY CONTROL;

COOCCURRENCE BASED THESAURUS;

INFORMATION RETRIEVAL;

EID: 0031139653     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0306-4573(96)00068-4     Document Type: Article

References (32)

1. Belkin, N., Kantor, P., Fox, E., & Shaw, J. (1995). Combining the evidence of multiple query representations for information retrieval. Information Processing & Management, 31(3), 431-448.
2. Berry, M. W. (1992). Large-scale sparse singular value computations. The International Journal of Supercomputer Applications, 6(1), 13-49.
3. Callan, J. P. (1994). Passage-level evidence in document retrieval. In Proceedings of SIGIR '94 (pp. 302-310).
4. Chute, C. G., Yang, Y., & Evans, D. A. (1991). Latent semantic indexing of medical diagnoses using umls semantic structures. In Clayton, P. D. (Ed.), Fifteenth Annual Symposium on Computer Applications in Medical Care (SCAMC) (pp. 185-189). Washington, DC: IEEE Computer Society.
5. Crouch, C. J. (1990). An approach to the automatic construction of global thesauri. Information Processing & Management, 26(5), 629-640.
6. Crouch, C. J., & Yang, B. (1992). Experiments in automatic statistical thesaurus construction. In Proceedings of SIGIR (pp. 77-88).
7. Cutting, D. R., Pedersen, J. O., Karger, D., & Tukey, J. W. (1992). Scatter/gather: A cluster-base approach to browsing large document collections. In Proceedings of SIGIR '92 (pp. 318-329).
8. Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K., & Harshman, R. (1990). Indexing by latent semantic analysis. Journal of the American Society for Information Science, 41(6), 391-407.
9. Dumais, S. T. (1993). Latent semantic indexing (lsi) and trec-2. In The Second Text REtrieval Conference (TREC-2) (pp. 105-115).
10. Evans, D. A., Ginther-Webster, K., Hart, M., Lefferts, R. G., & Monarch, I. A. (1991). Automatic indexing using selective nlp and first-order thesauri. In Proceedings of the RIAO (Vol. 2, pp. 624-643).
11. Gallant, S. I. (1991). A practical approach for representing context and for performing word sense disambiguation using neural networks. Neural Computation, 3(3), 293-309.
12. Gallant, S. I., Caid, W. R., Carleton, J., Hecht-Nielsen, R., Qing, K. P., & Sudbeck, D. (1992). HNC's matchplus system. In Proceedings of TREC.
13. Gnanadesikan, R. (1977). Methods for statistical data analysis of multivariate observations. New York: Wiley.
14. Golub, G. H., & van Loan, C. F. (1989). Matrix computations. Baltimore, MD: Johns Hopkins University Press.
15. Grefenstette, G. (1992). Use of syntactic context to produce term association lists for text retrieval. In Proceedings of SIGIR '92 (pp. 89-97).
16. Harman, D. (Ed.) (1993a). The First Text REtrieval Conference (TREC-1). NIST Special Publication 500-207. Washington, DC: U.S. Department of Commerce.
17. Harman, D. (1993b). Overview of the first trec conference. In Proceedings of SIGIR '93.
18. Jing, Y., & Croft, W. B. (1994). An association thesaurus for information retrieval. In Proceedings of RIAO (pp. 146-160). New York: Rockefeller University.
19. Kwok, K. L., Papadopoulos, L., & Kwan, K. Y. Y. (1993). Retrieval experiments with a large collection using pircs. In Harman, D. (Ed.), The First Text REtrieval Conference (TREC-1) (pp. 153-172). NIST Special Publication 500-207. Washington, DC: U.S. Department of Commerce.
20. Liddy, E. D., & Paik, W. (1992). Statistically-guided word sense disambiguation. In Goldman, R., Norvig, P., Charniak, E., & Gale, B. (Eds), Working notes of the AAAI Fall Symposium on Probabilistic Approaches to Natural Language. Menlo Park, CA: AAAI Press.
21. McCune, B. P., Tong, R., & Dean, J. (1985). Rubric, a system for rule-based information retrieval. IEEE Transactions on Software Engineering, 9, 939-944.
22. Peat, H. J., & Willet, P. (1991). The limitations of term co-occurrence data for query expansion in document retrieval systems. Journal of the American Society for Information Science, 42(5), 378-383.
23. Qiu, Y. & Frei, H. (1993). Concept based query expansion. In Proceedings of SIGIR '93.
24. Ruge, G. (1992). Experiments on linguistically-based term associations. Information Processing & Management, 28(3), 317-332.
25. Salton, G., & Buckley, C. (1990). Improving retrieval performance by relevance feedback. Journal of the American Society for Information Science, 41(4), 288-297.
26. Salton, G., & McGill, M. J. (1983). Introduction to modern information retrieval. New York: McGraw-Hill.
27. Salton, G., Fox, E. A., & Wu, H. (1983). Extended boolean information retrieval. Communications of the ACM, 26(11), 1022-1036.
28. Schütze, H. (1992). Dimensions of meaning. In Proceedings of Supercomputing '92 (pp. 787-796). Minneapolis, MN: IEEE Computer Society Press.
29. Strzalkowski, T. (1995). Natural language information retrieval. Information Processing & Management, 31(3), 397-417.
30. Turtle, H., & Croft, W. B. (1991). Evaluation of an inference network-based retrieval model. ACM Transactions on Information Systems, 9(3), 187-222.
31. Voorhees, E. M., & Hou, Y.-W (1992). Vector expansion in a large collection. In Proceedings of TREC.
32. Wilks, Y. A., Fass, D. C., ming Guo, C., McDonald, J. E., Plate, T., & Slator, B. M. (1990). Providing machine tractable dictionary tools. Journal of Computers and Translation, 2