- 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 ScholarDigital Library
- 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 ScholarDigital Library
- 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 ScholarDigital Library
- 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 ScholarDigital Library
- 5.Edward A. Fox. Lexical relations enhancing effectiveness of information retrieval systems. SIGIR Forum, Vol. 15, No. 3, pp. 6-36, 1980. Google ScholarDigital Library
- 6.Gregory. Grafenstette. Explorations in Automatic Thesaurus Discovery. Kluwer Academic Publisher, 1994. Google ScholarDigital Library
- 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 ScholarDigital Library
- 8.Marti A. Hearst. Multi-paragraph segmentation of expository text. In Proceedings of 32th Annual Meeting of the ACL, pp. 9-16, 1994. Google ScholarDigital Library
- 9.Marti A. Hearst. Texttiling: Segmenting text into multi-paragraph subtopic passages. Computational Linguistics, Vol. 23, No. 1, pp. 33-64, 1997. Google ScholarDigital Library
- 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 ScholarDigital Library
- 11.D. Hindle. Noun classification from predicate-argument structures. In Proceedings of 28th Annual Meeting of the ACL, pp. 268-275, 1990. Google ScholarDigital Library
- 12.Y. Jing and B. Croft. An association thesaurus for information retrieval. In Proceedings of RIA O, pp. 146- 160, 1994.Google Scholar
- 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 Scholar
- 14.G.A Miller. Wordnet: An on-line lexical database. Special Issue of the International Journal of Lexicography, Vol. 3, No. 4, 1990.Google Scholar
- 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 ScholarCross Ref
- 16.Qiu and H.P. Frei. Concept based query expansion. In Proceedings of the 16th A CM SIGIR Conference, pp. 160-169, 1993. Google ScholarDigital Library
- 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 ScholarDigital Library
- 18.G Ruge. Experiments on linguistically-based term associations. Information Processing and Management, Vol. 28, No. 3, pp. 317-332, 1992. Google ScholarDigital Library
- 19.G. Salton. The SMART Retrieval System Experiments in Automatic Document Processing. Prentice- Hall, 1971. Google ScholarDigital Library
- 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 ScholarCross Ref
- 21.G. Salton and M McGill. An Introduction to Modern Information Retrieval. McGraw-Hill, 1983. Google ScholarDigital Library
- 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 Scholar
- 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 ScholarDigital Library
- 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 Scholar
- 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 Scholar
- 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 ScholarDigital Library
- 27.E.M. Voorhees. Query expansion using lexical-semantic relations. In Proceedings of the 17th A CM-SIGIR Conference, pp. 61-69, 1994. Google ScholarDigital Library
- 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 ScholarDigital Library
Index Terms
- Combining multiple evidence from different types of thesaurus for query expansion
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