메뉴 건너뛰기




Volumn , Issue , 2003, Pages

Feature-rich part-of-speech tagging with a cyclic dependency network

Author keywords

[No Author keywords available]

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84983470508     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2544)

References (20)
  • 2
    • 0003332498 scopus 로고    scopus 로고
    • TnT – a statistical part-of-speech tagger
    • Thorsten Brants. 2000. TnT – a statistical part-of-speech tagger. In ANLP 6, pages 224–231.
    • (2000) ANLP , vol.6 , pp. 224-231
    • Brants, Thorsten1
  • 3
    • 85113721711 scopus 로고    scopus 로고
    • Classifier combination for improved lexical disambiguation
    • Eric Brill and Jun Wu. 1998. Classifier combination for improved lexical disambiguation. In ACL 36/COLING 17, pages 191–195.
    • (1998) ACL 36/COLING , vol.17 , pp. 191-195
    • Brill, Eric1    Wu, Jun2
  • 4
    • 84867919822 scopus 로고
    • Transformation-based error-driven learning and natural language processing: A case study in part-of-speech tagging
    • Eric Brill. 1995. Transformation-based error-driven learning and natural language processing: A case study in part-of-speech tagging. Computational Linguistics, 21(4):543–565.
    • (1995) Computational Linguistics , vol.21 , Issue.4 , pp. 543-565
    • Brill, Eric1
  • 7
    • 0002172868 scopus 로고
    • A stochastic parts program and noun phrase parser for unrestricted text
    • Kenneth W. Church. 1988. A stochastic parts program and noun phrase parser for unrestricted text. In ANLP 2, pages 136–143.
    • (1988) ANLP , vol.2 , pp. 136-143
    • Church, Kenneth W.1
  • 8
    • 85127836544 scopus 로고    scopus 로고
    • Discriminative training methods for Hidden Markov Models: Theory and experiments with perceptron algorithms
    • Michael Collins. 2002. Discriminative training methods for Hidden Markov Models: Theory and experiments with perceptron algorithms. In EMNLP 2002.
    • (2002) EMNLP 2002
    • Collins, Michael1
  • 11
    • 79951862233 scopus 로고    scopus 로고
    • Estimators for stochastic “unification-based” grammars
    • Mark Johnson, Stuart Geman, Stephen Canon, Zhiyi Chi, and Stefan Riezler. 1999. Estimators for stochastic “unification-based” grammars. In ACL 37, pages 535–541.
    • (1999) ACL , vol.37 , pp. 535-541
    • Johnson, Mark1    Geman, Stuart2    Canon, Stephen3    Chi, Zhiyi4    Riezler, Stefan5
  • 12
    • 85146419425 scopus 로고    scopus 로고
    • Conditional structure versus conditional estimation in NLP models
    • Dan Klein and Christopher D. Manning. 2002. Conditional structure versus conditional estimation in NLP models. In EMNLP 2002, pages 9–16.
    • (2002) EMNLP 2002 , pp. 9-16
    • Klein, Dan1    Manning, Christopher D.2
  • 13
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • John Lafferty, Andrew McCallum, and Fernando Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML-2001, pages 282–289.
    • (2001) ICML-2001 , pp. 282-289
    • Lafferty, John1    McCallum, Andrew2    Pereira, Fernando3
  • 14
    • 80053278715 scopus 로고    scopus 로고
    • Part-of-speech tagging based on Hidden Markov Model assuming joint independence
    • Sang-Zoo Lee, Jun ichi Tsujii, and Hae-Chang Rim. 2000. Part-of-speech tagging based on Hidden Markov Model assuming joint independence. In ACL 38, pages 263–169.
    • (2000) ACL , vol.38 , pp. 263-169
    • Lee, Sang-Zoo1    Tsujii, Jun ichi2    Rim, Hae-Chang3
  • 16
    • 44049091595 scopus 로고
    • Tag selection using probabilistic methods
    • Roger Garside, Geoffrey Sampson, and Geoffrey Leech, editors, pages Longman, London
    • Ian Marshall. 1987. Tag selection using probabilistic methods. In Roger Garside, Geoffrey Sampson, and Geoffrey Leech, editors, The Computational analysis of English: a corpus-based approach, pages 42–65. Longman, London.
    • (1987) The Computational analysis of English: a corpus-based approach , pp. 42-65
    • Marshall, Ian1
  • 17
    • 85124016637 scopus 로고    scopus 로고
    • A maximum entropy model for part-of-speech tagging
    • Adwait Ratnaparkhi. 1996. A maximum entropy model for part-of-speech tagging. In EMNLP 1, pages 133–142.
    • (1996) EMNLP , vol.1 , pp. 133-142
    • Ratnaparkhi, Adwait1
  • 18
    • 85124018704 scopus 로고    scopus 로고
    • Second-order hidden Markov model for part-of-speech tagging
    • Scott M. Thede and Mary P. Harper. 1999. Second-order hidden Markov model for part-of-speech tagging. In ACL 37, pages 175–182.
    • (1999) ACL , vol.37 , pp. 175-182
    • Thede, Scott M.1    Harper, Mary P.2
  • 19
    • 85122620960 scopus 로고    scopus 로고
    • Enriching the knowledge sources used in a maximum entropy part-of-speech tagger
    • Kristina Toutanova and Christopher Manning. 2000. Enriching the knowledge sources used in a maximum entropy part-of-speech tagger. In EMNLP/VLC 1999, pages 63–71.
    • (2000) EMNLP/VLC 1999 , pp. 63-71
    • Toutanova, Kristina1    Manning, Christopher2
  • 20
    • 0001868572 scopus 로고    scopus 로고
    • Text categorization based on regularized linear classification methods
    • Tong Zhang and Frank J. Oles. 2001. Text categorization based on regularized linear classification methods. Information Retrieval, 4:5–31.
    • (2001) Information Retrieval , vol.4 , pp. 5-31
    • Zhang, Tong1    Oles, Frank J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.