메뉴 건너뛰기




Volumn , Issue , 2006, Pages 412-419

Exploiting non-local features for spoken language understanding

Author keywords

[No Author keywords available]

Indexed keywords

IMPROVE PERFORMANCE; INDUCTION ALGORITHMS; LOCAL INFORMATION; LONG-DISTANCE DEPENDENCIES; NATURAL LANGUAGES; NON-LOCAL FEATURES; NONLOCAL; SIMPLE MODIFICATIONS; SPOKEN LANGUAGE UNDERSTANDING; SPOKEN LANGUAGES;

EID: 80051662864     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (12)
  • 1
    • 84859918687 scopus 로고    scopus 로고
    • Incorporating non-local information into information extraction systems by gibbs sampling
    • J. R. Finkel, T. Grenager, and C. Manning. 2005. Incorporating non-local information into information extraction systems by gibbs sampling. In Proceedings of ACL'05, pages 363-370.
    • (2005) Proceedings of ACL'05 , pp. 363-370
    • Finkel, J. R.1    Grenager, T.2    Manning, C.3
  • 2
    • 0040076126 scopus 로고    scopus 로고
    • Automatic labeling of semantic roles
    • D. Gildea and D. Jurafsky. 2002. Automatic labeling of semantic roles. Computational Linguistics, 28(3):245-288.
    • (2002) Computational Linguistics , vol.28 , Issue.3 , pp. 245-288
    • Gildea, D.1    Jurafsky, D.2
  • 3
    • 0024909979 scopus 로고
    • Some statistical issues in the comparison of speech recognition algorithms
    • L. Gillick and S. Cox. 1989. Some statistical issues in the comparison of speech recognition algorithms. In Proceedings of ICASSP, pages 532-535.
    • (1989) Proceedings of ICASSP , pp. 532-535
    • Gillick, L.1    Cox, S.2
  • 4
    • 9644303420 scopus 로고    scopus 로고
    • Semantic processing using the hidden vector state model
    • Y. He and S. Young. 2005. Semantic processing using the hidden vector state model. Computer Speech & Language, 19(1):85-106.
    • (2005) Computer Speech & Language , vol.19 , Issue.1 , pp. 85-106
    • He, Y.1    Young, S.2
  • 5
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • J. Lafferty, A. McCallum, and F. Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of ICML, pages 282-289.
    • (2001) Proceedings of ICML , pp. 282-289
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 6
    • 10244268660 scopus 로고    scopus 로고
    • Efficiently inducing features of conditional random fields
    • A. McCallum. 2003. Efficiently inducing features of conditional random fields. In Proceedings of UAI, page 403.
    • (2003) Proceedings of UAI , pp. 403
    • McCallum, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.