ML Anthology

Improve Tree Kernel-Based Event Pronoun Resolution with Competitive Information

Fang Kong, Guodong Zhou
IJCAI 2011 pp. 1814-1819
doi:10.5591/978-1-57735-516-8/IJCAI11-304 /ijcai/2011/kong2011ijcai-improve/

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.

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Cite

Text

Kong and Zhou. "Improve Tree Kernel-Based Event Pronoun Resolution with Competitive Information." International Joint Conference on Artificial Intelligence, 2011. doi:10.5591/978-1-57735-516-8/IJCAI11-304

Markdown

[Kong and Zhou. "Improve Tree Kernel-Based Event Pronoun Resolution with Competitive Information." International Joint Conference on Artificial Intelligence, 2011.](https://mlanthology.org/ijcai/2011/kong2011ijcai-improve/) doi:10.5591/978-1-57735-516-8/IJCAI11-304

BibTeX

@inproceedings{kong2011ijcai-improve,
  title     = {{Improve Tree Kernel-Based Event Pronoun Resolution with Competitive Information}},
  author    = {Kong, Fang and Zhou, Guodong},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2011},
  pages     = {1814-1819},
  doi       = {10.5591/978-1-57735-516-8/IJCAI11-304},
  url       = {https://mlanthology.org/ijcai/2011/kong2011ijcai-improve/}
}