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Volumn , Issue , 2004, Pages 1-8

Max-margin parsing

Author keywords

[No Author keywords available]

Indexed keywords

CONTEXT FREE GRAMMARS; FORMAL LANGUAGES; LEARNING ALGORITHMS; NATURAL LANGUAGE PROCESSING SYSTEMS; PARALLEL PROCESSING SYSTEMS; SUPPORT VECTOR MACHINES; SYNTACTICS;

EID: 85117165447     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (165)

References (17)
  • 4
    • 0040044720 scopus 로고    scopus 로고
    • Discriminative reranking for natural language parsing
    • M. Collins. 2000. Discriminative reranking for natural language parsing. In ICML 17, pages 175-182.
    • (2000) ICML , vol.17 , pp. 175-182
    • Collins, M.1
  • 5
    • 10044256267 scopus 로고    scopus 로고
    • Parameter estimation for statistical parsing models: Theory and practice of distribution-free methods
    • Harry Bunt, John Carroll, and Giorgio Satta, editors, Kluwer
    • M. Collins. 2004. Parameter estimation for statistical parsing models: Theory and practice of distribution-free methods. In Harry Bunt, John Carroll, and Giorgio Satta, editors, New Developments in Parsing Technology. Kluwer.
    • (2004) New Developments in Parsing Technology
    • Collins, M.1
  • 9
    • 0013363096 scopus 로고    scopus 로고
    • Joint and conditional estimation of tagging and parsing models
    • M. Johnson. 2001. Joint and conditional estimation of tagging and parsing models. In ACL 39.
    • (2001) ACL , vol.39
    • Johnson, M.1
  • 11
    • 85146417759 scopus 로고    scopus 로고
    • Accurate unlexicalized parsing
    • D. Klein and C. D. Manning. 2003. Accurate unlexicalized parsing. In ACL 41, pages 423-430.
    • (2003) ACL , vol.41 , pp. 423-430
    • Klein, D.1    Manning, C. D.2
  • 12
    • 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 ICML.
    • (2001) ICML
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 14
    • 0001171722 scopus 로고    scopus 로고
    • Using sparseness and analytic QP to speed training of support vector machines
    • J. Platt. 1999. Using sparseness and analytic QP to speed training of support vector machines. In NIPS.
    • (1999) NIPS
    • Platt, J.1
  • 15
    • 79957672585 scopus 로고    scopus 로고
    • Using ltag based features in parse reranking
    • L. Shen, A. Sarkar, and A. K. Joshi. 2003. Using ltag based features in parse reranking. In Proc. EMNLP.
    • (2003) Proc. EMNLP.
    • Shen, L.1    Sarkar, A.2    Joshi, A. K.3
  • 17
    • 84983470508 scopus 로고    scopus 로고
    • Feature-rich part-of-speech tagging with a cyclic dependency network
    • K. Toutanova, D. Klein, C. D. Manning, and Y. Singer. 2003. Feature-rich part-of-speech tagging with a cyclic dependency network. In NAACL 3, pages 252-259.
    • (2003) NAACL , vol.3 , pp. 252-259
    • Toutanova, K.1    Klein, D.2    Manning, C. D.3    Singer, Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.