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Volumn 2, Issue , 2009, Pages 377-380

Chinese coreference resolution with ensemble learning

Author keywords

Coreference resolution; Ensemble learning; Natural language processing

Indexed keywords

BASIC MODELS; COREFERENCE RESOLUTION; ENSEMBLE LEARNING; GRAPH-CUT; HIGH QUALITY; MAXIMUM ENTROPY; NATURAL LANGUAGE PROCESSING; RANKING MODEL;

EID: 77749340032     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PACIIA.2009.5406581     Document Type: Conference Paper
Times cited : (3)

References (14)
  • 7
    • 84858393901 scopus 로고    scopus 로고
    • First-order probabilistic models for coreference resolution
    • A. Culotta, M. Wick, and A. McCallum, "First-order probabilistic models for coreference resolution," in Proceedings of NAACL HLT 2007, 2007, pp. 81-88.
    • Proceedings of NAACL , vol.HLT 2007
    • Culotta, A.1    Wick, M.2    McCallum, A.3
  • 11
    • 84871054273 scopus 로고    scopus 로고
    • Unsupervised Segmentation Helps Supervised Learning of Character Tagging for Word Segmentation and Named Entity Recognition
    • H. Zhao and C. Kit, "Unsupervised Segmentation Helps Supervised Learning of Character Tagging for Word Segmentation and Named Entity Recognition," in Proceedings of the Sixth SIGHAN Workshop on Chinese Language Processing, 2008, pp. 106-111.
    • (2008) Proceedings of the Sixth SIGHAN Workshop on Chinese Language Processing , pp. 106-111
    • Zhao, H.1    Kit, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.