Joint Modeling of Argument Identification and Role Determination in Chinese Event Extraction with Discourse-Level Information

Li, Peifeng; Zhu, Qiaoming; Zhou, Guodong

Joint Modeling of Argument Identification and Role Determination in Chinese Event Extraction with Discourse-Level Information

Download BibTeX Cite

Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 2120-2125.

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.

Peifeng Li, Qiaoming Zhu, and Guodong Zhou. 2013. Joint Modeling of Argument Identification and Role Determination in Chinese Event Extraction with Discourse-Level Information. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13. IJCAI, 2120–2125. https://ijcai.org/proceedings/2013/313

@inproceedings{ijcai2013p313,
  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 = {Proceedings of the Twenty-Third International Joint Conference on
               Artificial Intelligence, {IJCAI-13}},
  publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
  editor    = {Francesca Rossi},
  pages     = {2120--2125},
  year      = {2013},
  month     = {8},
  url       = {https://ijcai.org/proceedings/2013/313},
}

TY  - CPAPER
TI  - Joint Modeling of Argument Identification and Role Determination in Chinese Event Extraction with Discourse-Level Information
AU  - Li, Peifeng
AU  - Zhu, Qiaoming
AU  - Zhou, Guodong
T2  - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13
PB  - AAAI Press / International Joint Conferences on Artificial Intelligence
PY  - 2013
SP  - 2120
EP  - 2125
UR  - https://ijcai.org/proceedings/2013/313
ER  -