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Volumn , Issue , 2012, Pages 56-63

Combining the best of two worlds: A hybrid approach to multilingual coreference resolution

Author keywords

[No Author keywords available]

Indexed keywords

COREFERENCE; COREFERENCE RESOLUTION; HYBRID APPROACH; LEARNING-BASED METHODS; PARTICIPATING TEAMS; RULE-BASED METHOD; TEST SETS;

EID: 84945504893     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (38)

References (9)
  • 4
    • 85149108413 scopus 로고    scopus 로고
    • Learning noun phrase anaphoricity to improve conference resolution: Issues in representation and optimization
    • Vincent Ng. 2004. Learning noun phrase anaphoricity to improve conference resolution: Issues in representation and optimization. In Proceedings of the 42nd Meeting of the Association for Computational Linguistics, pages 151-158.
    • (2004) Proceedings of the 42nd Meeting of the Association for Computational Linguistics , pp. 151-158
    • Ng, Vincent1
  • 8
    • 79956341893 scopus 로고    scopus 로고
    • Narrowing the modeling gap: A cluster-ranking approach to coreference resolution
    • Altaf Rahman and Vincent Ng. 2011b. Narrowing the modeling gap: A cluster-ranking approach to coreference resolution. Journal of Artificial Intelligence Research, 40:469-521.
    • (2011) Journal of Artificial Intelligence Research , vol.40 , pp. 469-521
    • Rahman, Altaf1    Ng, Vincent2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.