Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/41556
Title: Improving pronoun resolution using statistics-based semantic compatibility information
Authors: Yang, X. 
Su, J.
Tan, C.L. 
Issue Date: 2005
Source: Yang, X.,Su, J.,Tan, C.L. (2005). Improving pronoun resolution using statistics-based semantic compatibility information. ACL-05 - 43rd Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference : 165-172. ScholarBank@NUS Repository.
Abstract: In this paper we focus on how to improve pronoun resolution using the statisticsbased semantic compatibility information. We investigate two unexplored issues that influence the effectiveness of such information: statistics source and learning framework. Specifically, we for the first time propose to utilize the web and the twin-candidate model, in addition to the previous combination of the corpus and the single-candidate model, to compute and apply the semantic information. Our study shows that the semantic compatibility obtained from the web can be effectively incorporated in the twin-candidate learning model and significantly improve the resolution of neutral pronouns. © 2005 Association for Computational Linguistics.
Source Title: ACL-05 - 43rd Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/41556
ISBN: 1932432515
Appears in Collections:Staff Publications

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