Improve Tree Kernel-Based Event Pronoun Resolution with Competitive Information
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 1814-1818.
Abstract
Event anaphora resolution plays a critical role in discourse analysis. This paper proposes a tree kernel-based framework for event pronoun resolution. In particular, a new tree expansion scheme is introduced to automatically determine a proper parse tree structure for event pronoun resolution by considering various kinds of competitive information related with the anaphor and the antecedent candidate. Evaluation on the OntoNotes English corpus shows the appropriateness of the tree kernel-based framework and the effectiveness of competitive information for event pronoun resolution.
@inproceedings{ijcai2011p304,
title = {Improve Tree Kernel-Based Event Pronoun Resolution with Competitive Information},
author = {Kong, Fang and Zhou, Guodong},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {1814--1818},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-304},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-304},
}
TY - CPAPER TI - Improve Tree Kernel-Based Event Pronoun Resolution with Competitive Information AU - Kong, Fang AU - Zhou, Guodong T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 1814 EP - 1818 DO - 10.5591/978-1-57735-516-8/IJCAI11-304 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-304 ER -Copied
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