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Volumn 2, Issue , 2002, Pages 317-320

The MERL SpokenQuery information retrieval system a system for retrieving pertinent documents from a spoken query

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[No Author keywords available]

Indexed keywords


EID: 78649266773     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2002.1035591     Document Type: Conference Paper
Times cited : (15)

References (9)
  • 1
    • 0012262430 scopus 로고    scopus 로고
    • Large vocabuary recognition and confidence estimation using word posterior probabilities
    • Istanbul, Turkey.
    • Evermann, G., and Woodland, P. C., "Large Vocabuary Recognition and Confidence Estimation using Word Posterior Probabilities, Proc. ICASSP 2000, Istanbul, Turkey.
    • Proc. ICASSP 2000
    • Evermann, G.1    Woodland, P.C.2
  • 3
    • 0003980416 scopus 로고    scopus 로고
    • Learning to extract keyphrases from text
    • National Research Council Canada
    • Turney, P. D., "Learning to Extract Keyphrases from Text", NRC Technical Report ERB-1057, National Research Council Canada, 1999.
    • (1999) NRC Technical Report ERB-1057
    • Turney, P.D.1
  • 5
    • 84908185823 scopus 로고    scopus 로고
    • Computational semantics and information retrieval
    • Bos, J., and Kohlhase M. (eds.) , July
    • Monz, C., "Computational Semantics and Information Retrieval", in Bos, J., and Kohlhase, M. (eds.), Proc. Second Workshop on Inference in Computational Semantics, July 2000
    • (2000) Proc. Second Workshop on Inference in Computational Semantics
    • Monz, C.1
  • 6
    • 21344449496 scopus 로고
    • Low-rank orthogonal decompositions for information retrieval applications
    • Berry, M. W., Fierro, R. D., "Low-Rank Orthogonal Decompositions for Information Retrieval Applications", Numerical Linear Algebra with Applications, Vol 3 pp. 301-328, 1995.
    • (1995) Numerical Linear Algebra with Applications , vol.3 , pp. 301-328
    • Berry, M.W.1    Fierro, R.D.2
  • 7
    • 0142093775 scopus 로고
    • Using an N-gram based document representation with a vector processing retrieval model
    • W. Cavnar. "Using an N-gram based document representation with a vector processing retrieval model", Proc. TREC 3, 1994
    • (1994) Proc. TREC , vol.3
    • Cavnar, W.1
  • 9
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • Lee, D.D., and Seung, H.S, Learning the parts of objects by non-negative matrix factorization", Nature 401,788-791, 1999
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.