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Volumn , Issue , 2002, Pages 9-16

Conditional Structure versus Conditional Estimation in NLP Models

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; MARKOV PROCESSES; MODEL STRUCTURES;

EID: 85146419425     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (64)

References (20)
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    • On bias, variance, 0/1–loss, and the curse-of-dimensionality
    • Jerome H. Friedman. 1997. On bias, variance, 0/1–loss, and the curse-of-dimensionality. Data Mining and Knowledge Discovery, 1(1):55–77.
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    • Friedman, Jerome H.1
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    • Goodman, Joshua1
  • 10
    • 0013363096 scopus 로고    scopus 로고
    • Joint and conditional estimation of tagging and parsing models
    • Mark Johnson. 2001. Joint and conditional estimation of tagging and parsing models. In ACL 39, pages 314–321.
    • (2001) ACL , vol.39 , pp. 314-321
    • Johnson, Mark1
  • 11
    • 0008587253 scopus 로고    scopus 로고
    • Senseval: An exercise in evaluating word sense disambiguation programs
    • A. Kilgarriff. 1998. Senseval: An exercise in evaluating word sense disambiguation programs. In LREC, pages 581–588.
    • (1998) LREC , pp. 581-588
    • Kilgarriff, A.1
  • 12
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • John Lafferty, Fernando Pereira, and Andrew McCallum. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML.
    • (2001) ICML
    • Lafferty, John1    Pereira, Fernando2    McCallum, Andrew3
  • 15
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    • On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes
    • Andrew Y. Ng and Michael Jordan. 2002. On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes. In NIPS 14.
    • (2002) NIPS , vol.14
    • Ng, Andrew Y.1    Jordan, Michael2
  • 19
    • 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
  • 20
    • 85122620960 scopus 로고    scopus 로고
    • Enriching the knowledge sources used in a maximum entropy part-of-speech tagger
    • Kristina Toutanova and Christopher D. Manning. 2000. Enriching the knowledge sources used in a maximum entropy part-of-speech tagger. In EMNLP/VLC 2000, pages 63–70.
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    • Toutanova, Kristina1    Manning, Christopher D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.