TY - GEN
T1 - Coreference Resolution System using Maximum Entropy Classifier
AU - Chen, Weipeng
AU - Zhang, Muyu
AU - Qin, Bing
N1 - Publisher Copyright:
© 2011 Association for Computational Linguistics
PY - 2011
Y1 - 2011
N2 - In this paper, we present our supervised learning approach to coreference resolution in ConLL corpus. The system relies on a maximum entropy-based classifier for pairs of mentions, and adopts a rich linguisitically motivated feature set, which mostly has been introduced by Soon et al (2001), and experiment with alternaive resolution process, preprocessing tools,and classifiers. We optimize the system's performance for MUC (Vilain et al, 1995), BCUB (Bagga and Baldwin, 1998) and CEAF (Luo, 2005).
AB - In this paper, we present our supervised learning approach to coreference resolution in ConLL corpus. The system relies on a maximum entropy-based classifier for pairs of mentions, and adopts a rich linguisitically motivated feature set, which mostly has been introduced by Soon et al (2001), and experiment with alternaive resolution process, preprocessing tools,and classifiers. We optimize the system's performance for MUC (Vilain et al, 1995), BCUB (Bagga and Baldwin, 1998) and CEAF (Luo, 2005).
UR - https://www.scopus.com/pages/publications/84926387759
M3 - 会议稿件
AN - SCOPUS:84926387759
T3 - CoNLL 2011 - 15th Conference on Computational Natural Language Learning: Shared Task, Proceedings
SP - 127
EP - 130
BT - CoNLL 2011 - 15th Conference on Computational Natural Language Learning
A2 - Pradhan, Sameer
PB - Association for Computational Linguistics (ACL)
T2 - 15th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2011
Y2 - 23 June 2011 through 24 June 2011
ER -