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|Title:||Improving pronoun resolution using statistics-based semantic compatibility information|
|Authors:||Yang, X. |
|Citation:||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|
|Appears in Collections:||Staff Publications|
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