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Volumn , Issue , 2009, Pages 849-856

Sparse higher order conditional random fields for improved sequence labeling

Author keywords

[No Author keywords available]

Indexed keywords

CONDITIONAL RANDOM FIELD; EXACT INFERENCE; FEATURE SETS; HIGHER ORDER; LOCAL FEATURE; NAME RECOGNITION; POTENTIAL FUNCTION; SEQUENCE LABELING; STATES AND TRANSITIONS; TRAINING DATA;

EID: 71149101799     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (32)

References (10)
  • 1
    • 85127836544 scopus 로고    scopus 로고
    • Discriminative training methods for hidden markov models: Theory and experiments with perceptron algorithms
    • Collins, M. (2002a). Discriminative training methods for hidden markov models: Theory and experiments with perceptron algorithms. Proceedings of Empirical Methods in Natural Language Processing (pp. 1-8).
    • (2002) Proceedings of Empirical Methods in Natural Language Processing , pp. 1-8
    • Collins, M.1
  • 3
    • 38049161907 scopus 로고    scopus 로고
    • *IA 2007: Artificial Intelligence and Human-Oriented Computing (pp. 290-301).
    • *IA 2007: Artificial Intelligence and Human-Oriented Computing (pp. 290-301).
  • 4
    • 85120176153 scopus 로고    scopus 로고
    • The fourth international Chinese language processing bakeoff: Chinese word segmentation, named entity recognition and Chinese pos tagging
    • Jin, G., & Chen, X. (2008). The fourth international Chinese language processing bakeoff: Chinese word segmentation, named entity recognition and Chinese pos tagging. Proceedings of Sixth Special Interest Group on Chinese Language Processing Workshop (pp. 69-81).
    • (2008) Proceedings of Sixth Special Interest Group on Chinese Language Processing Workshop , pp. 69-81
    • Jin, G.1    Chen, X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.