Joint Modeling of Argument Identification and Role Determination in Chinese Event Extraction with Discourse-Level Information
Abstract
Argument extraction is a challenging task in event extraction. However, most of previous studies focused on intra-sentence information and failed to extract inter-sentence arguments. This paper proposes a discourse-level joint model of argument identification and role determination to infer those inter-sentence arguments in a discourse. Moreover, to better represent the relationship among relevant event mentions and the relationship between an event mention and its arguments in a discourse, this paper introduces various kinds of corpus-based and discourse-based constraints in the joint model, either automatically learned or linguistically motivated. Evaluation on the ACE 2005 Chinese corpus justifies the effectiveness of our joint model over a strong baseline in Chinese argument extraction, in particular argument identification.
Cite
Text
Li et al. "Joint Modeling of Argument Identification and Role Determination in Chinese Event Extraction with Discourse-Level Information." International Joint Conference on Artificial Intelligence, 2013.Markdown
[Li et al. "Joint Modeling of Argument Identification and Role Determination in Chinese Event Extraction with Discourse-Level Information." International Joint Conference on Artificial Intelligence, 2013.](https://mlanthology.org/ijcai/2013/li2013ijcai-joint/)BibTeX
@inproceedings{li2013ijcai-joint,
title = {{Joint Modeling of Argument Identification and Role Determination in Chinese Event Extraction with Discourse-Level Information}},
author = {Li, Peifeng and Zhu, Qiaoming and Zhou, Guodong},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2013},
pages = {2120-2126},
url = {https://mlanthology.org/ijcai/2013/li2013ijcai-joint/}
}