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Volumn 1, Issue , 2015, Pages 1405-1415

Entity-centric coreference resolution with model stacking

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

EID: 84943759014     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p15-1136     Document Type: Conference Paper
Times cited : (195)

References (41)
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    • Anders Björkelund and Jonas Kuhn. 2014. Learning structured perceptrons for coreference resolution with latent antecedents and non-local features. In Association of Computational Linguistics (ACL).
    • (2014) Association of Computational Linguistics (ACL)
    • Björkelund, A.1    Kuhn, J.2
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    • 80053277681 scopus 로고    scopus 로고
    • A largescale exploration of effective global features for a joint entity detection and tracking model
    • Hal Daumé III and Daniel Marcu. 2005. A largescale exploration of effective global features for a joint entity detection and tracking model. In Empirical Methods in Natural Language Processing (EMNLP), pages 97-104.
    • (2005) Empirical Methods in Natural Language Processing (EMNLP) , pp. 97-104
    • Daumé, H.1    Marcu, D.2
  • 10
    • 67349244372 scopus 로고    scopus 로고
    • Search-based structured prediction
    • Hal Daumé III, John Langford, and Daniel Marcu. 2009. Search-based structured prediction. Machine Learning, 75(3):297-325.
    • (2009) Machine Learning , vol.75 , Issue.3 , pp. 297-325
    • Daumé, H.1    Langford, J.2    Marcu, D.3
  • 13
    • 80052250414 scopus 로고    scopus 로고
    • Adaptive subgradient methods for online learning and stochastic optimization
    • John Duchi, Elad Hazan, and Yoram Singer. 2011. Adaptive subgradient methods for online learning and stochastic optimization. Journal of Machine Learning Research, 12:2121-2159.
    • (2011) Journal of Machine Learning Research , vol.12 , pp. 2121-2159
    • Duchi, J.1    Hazan, E.2    Singer, Y.3
  • 28
    • 85018107058 scopus 로고    scopus 로고
    • Improving machine learning approaches to coreference resolution
    • Vincent Ng and Claire Cardie. 2002. Improving machine learning approaches to coreference resolution. In Association of Computational Linguistics (ACL), pages 104-111.
    • (2002) Association of Computational Linguistics (ACL) , pp. 104-111
    • Ng, V.1    Cardie, C.2
  • 34
    • 79956341893 scopus 로고    scopus 로고
    • Narrowing the modeling gap: A cluster-ranking approach to coreference resolution
    • Altaf Rahman and Vincent Ng. 2011. Narrowing the modeling gap: a cluster-ranking approach to coreference resolution. Journal of Artificial Intelligence Research (JAIR), pages 469-521.
    • (2011) Journal of Artificial Intelligence Research (JAIR) , pp. 469-521
    • Rahman, A.1    Ng, V.2
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    • 0039891959 scopus 로고    scopus 로고
    • A machine learning approach to coreference resolution of noun phrases
    • Wee Meng Soon, Hwee Tou Ng, and Daniel Chung Yong Lim. 2001. A machine learning approach to coreference resolution of noun phrases. Computational Linguistics, 27(4):521-544.
    • (2001) Computational Linguistics , vol.27 , Issue.4 , pp. 521-544
    • Meng Soon, W.1    Ng, H.T.2    Chung, D.3    Lim, Y.4
  • 38
    • 84876807022 scopus 로고    scopus 로고
    • Easy-first coreference resolution
    • Veselin Stoyanov and Jason Eisner. 2012. Easy-first coreference resolution. In COLING, pages 2519-2534.
    • (2012) COLING , pp. 2519-2534
    • Stoyanov, V.1    Eisner, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.