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Volumn , Issue , 2004, Pages 262-269

Trained named entity recognition using distributional clusters

Author keywords

[No Author keywords available]

Indexed keywords

MACHINE LEARNING; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 33645103900     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (34)

References (17)
  • 5
    • 85119333087 scopus 로고    scopus 로고
    • Inducing syntactic categories by context distribution clustering
    • September
    • A. Clark. 2000. Inducing syntactic categories by context distribution clustering. In CoNLL 2000, September.
    • (2000) CoNLL 2000
    • Clark, A.1
  • 7
    • 85127836544 scopus 로고    scopus 로고
    • Discriminative training methods for hidden Markov models: Theory and experiments with perceptron algorithms
    • M. Collins. 2002. Discriminative training methods for hidden Markov models: Theory and experiments with perceptron algorithms. In Proceedings of EMNLP-2002.
    • (2002) Proceedings of EMNLP-2002
    • Collins, M.1
  • 11
    • 85121365374 scopus 로고    scopus 로고
    • Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons
    • A. McCallum and W. Li. 2003. Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons. In Proc. 7th Conference on Natural Language Learning (CoNLL-03).
    • (2003) Proc. 7th Conference on Natural Language Learning (CoNLL-03)
    • McCallum, A.1    Li, W.2
  • 13
    • 9444254243 scopus 로고    scopus 로고
    • Introduction to the CoNLL-2002 shared task: Language-independent named entity recognition
    • E. F. Tjong Kim Sang. 2002. Introduction to the CoNLL-2002 shared task: Language-independent named entity recognition. In Proceedings of CoNLL-2002.
    • (2002) Proceedings of CoNLL-2002
    • Tjong, E. F.1    Sang, Kim2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.