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Volumn 2, Issue , 2010, Pages 89-97

Very high accuracy and fast dependency parsing is not a contradiction

Author keywords

[No Author keywords available]

Indexed keywords

DEPENDENCY PARSER; DEPENDENCY PARSING; MACHINE TRANSLATIONS; MAJOR FACTORS; NEGATIVE EXAMPLES; PARALLELIZATIONS; PARSING ALGORITHM; PERCEPTRON ALGORITHMS; TIME COMPLEXITY; TRAINING SPEED;

EID: 80053398448     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (388)

References (25)
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    • Collins, M. 2002. Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms. In EMNLP.
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    • McDonald, R.1    Pereira, F.2
  • 15
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    • McDonald, R., K. Crammer, and F. Pereira. 2005. Online Large-margin Training of Dependency Parsers. In Proc. ACL, pages 91-98.
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    • Nivre, J.1    McDonald, R.2
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    • Nivre, J.1    Hall, J.2    Nilsson, J.3
  • 18
    • 33746230843 scopus 로고    scopus 로고
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    • Nivre, J.1
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    • Random features for large-scale kernel machines
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.