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Volumn , Issue , 2003, Pages 91-98

Investigating GIS and smoothing for maximum entropy taggers

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GRAMMARS; MAXIMUM ENTROPY METHODS; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 85054431952     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (59)

References (22)
  • 6
    • 85127836544 scopus 로고    scopus 로고
    • Discriminative training methods for Hidden Markov Models: Theory and experiments with perceptron algorithms
    • Philadelphia, PA
    • Michael Collins. 2002. Discriminative training methods for Hidden Markov Models: Theory and experiments with perceptron algorithms. In Proceedings of the EMNLP Conference, pages 1-8, Philadelphia, PA.
    • (2002) Proceedings of the EMNLP Conference , pp. 1-8
    • Collins, Michael1
  • 10
    • 33745800994 scopus 로고    scopus 로고
    • Sequential conditional generalized iterative scaling
    • Philadelphia, PA
    • Joshua Goodman. 2002. Sequential conditional generalized iterative scaling. In Proceedings of the 40th Meeting of the ACL, pages 9-16, Philadelphia, PA.
    • (2002) Proceedings of the 40th Meeting of the ACL , pp. 9-16
    • Goodman, Joshua1
  • 13
    • 85090366702 scopus 로고    scopus 로고
    • Chunking with maximum entropy models
    • Lisbon, Portugal
    • Rob Koeling. 2000. Chunking with maximum entropy models. In Proceedings of the CoNLL Workshop 2000, pages 139-141, Lisbon, Portugal.
    • (2000) Proceedings of the CoNLL Workshop 2000 , pp. 139-141
    • Koeling, Rob1
  • 16
    • 85124016637 scopus 로고    scopus 로고
    • A maximum entropy part-of-speech tagger
    • Philadelphia, PA
    • Adwait Ratnaparkhi. 1996. A maximum entropy part-of-speech tagger. In Proceedings of the EMNLP Conference, pages 133-142, Philadelphia, PA.
    • (1996) Proceedings of the EMNLP Conference , pp. 133-142
    • Ratnaparkhi, Adwait1
  • 18
    • 0032660854 scopus 로고    scopus 로고
    • Learning to parse natural language with maximum entropy models
    • Adwait Ratnaparkhi. 1999. Learning to parse natural language with maximum entropy models. Machine Learning, 34(l-3):l51-175.
    • (1999) Machine Learning , vol.34 , Issue.l-3 , pp. l51-175
    • Ratnaparkhi, Adwait1
  • 19
    • 0030181951 scopus 로고    scopus 로고
    • A maximum entropy approach to adaptive statistical language modeling
    • Ronald Rosenfeld. 1996. A maximum entropy approach to adaptive statistical language modeling. Computer Speech and Language, 10:187-228.
    • (1996) Computer Speech and Language , vol.10 , pp. 187-228
    • Rosenfeld, Ronald1
  • 22
    • 0038765969 scopus 로고    scopus 로고
    • lmproving accuracy in wordclass tagging through combination of machine learning systems
    • Hans van Halteren, Jakub Zavrel, and Walter Daelemans. 2001. lmproving accuracy in wordclass tagging through combination of machine learning systems. Computational Linguistics, 27(2): 199-229.
    • (2001) Computational Linguistics , vol.27 , Issue.2 , pp. 199-229
    • van Halteren, Hans1    Zavrel, Jakub2    Daelemans, Walter3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.