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Volumn , Issue , 2007, Pages 1707-1712

A dual-layer CRFs based joint decoding method for cascaded segmentation and labeling tasks

Author keywords

[No Author keywords available]

Indexed keywords

BASELINE METHODS; CHINESE WORD SEGMENTATION; CONDITIONAL RANDOM FIELD; ERROR PROPAGATION; HARD CONSTRAINTS; PART OF SPEECH TAGGING; PENN CHINESE TREEBANK; STATE-OF-THE-ART PERFORMANCE;

EID: 84880862726     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (44)

References (24)
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  • 8
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    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • J. Lafferty, A. McCallum, and F. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of ICML, 2001.
    • Proceedings of ICML, 2001
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 9
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    • A maximum entropy Chinese character-based parser
    • X. Luo. A maximum entropy Chinese character-based parser. In Proceedings of EMNLP, 2003.
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    • Luo, X.1
  • 11
    • 77957847281 scopus 로고    scopus 로고
    • Chinese part-ofspeech tagging: One-at-a-time or all-at-once? Word-based or character-based?
    • H. Ng and J. Low. Chinese part-ofspeech tagging: one-at-a-time or all-at-once? word-based or character-based? In Proceedings of EMNLP, 2004.
    • Proceedings of EMNLP, 2004
    • Ng, H.1    Low, J.2
  • 12
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    • Chinese segmentation and new word detection using conditional random fields
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    • Peng, F.1    Feng, F.2    McCallum, A.3
  • 14
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    • The N-best algorithm: An efficient and exact procedure for finding the N most likely sentence hypotheses
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    • Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data
    • C. Sutton, K. Rohanimanesh, and A. McCallum. Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data. In Proceedings of ICML, 2004.
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    • The integration of syntactic parsing and semantic role labeling
    • S. Yi and M. Palmer. The integration of syntactic parsing and semantic role labeling. In Proceedings of CoNLL, 2005.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.