Xin Guo
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Xin Guo has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Jian Liao
School of Computer and Information Technology, Shanxi University, Taiyuan, China
1 shared publication - Jianxing Zheng
School of Computer and Information Technology, Shanxi University, Taiyuan, China
1 shared publication - Kehan Yang
School of Computer and Information Technology, Shanxi University, Taiyuan 030006, China
1 shared publication - Qian Chen
School of Computer and Information Technology, Shanxi University, Taiyuan 030006, China
1 shared publication - Suge Wang
School of Computer and Information Technology, Shanxi University, Taiyuan, China
1 shared publication
Latest Publications
- Open Access
- 18 November 2023
- Published by MDPI AG in Electronics
- Vol. 12 (22) , 4688
Joint Overlapping Event Extraction Model via Role Pre-Judgment with Trigger and Context Embeddings
The objective of event extraction is to recognize event triggers and event categories within unstructured text and produce structured event arguments. However, there is a common phenomenon of triggers and arguments of different event types in a sentence that may be the same word elements, which poses new challenges to this task. In this article, a joint learning framework for overlapping event extraction (ROPEE) is proposed. In this framework, a role pre-judgment module is devised prior to argument extraction. It conducts role pre-judgment by leveraging the correlation between event types and roles, as well as trigger embeddings. Experiments on the FewFC show that the proposed model outperforms other baseline models in terms of Trigger Classification, Argument Identification, and Argument Classification by 0.4%, 0.9%, and 0.6%. In scenarios of trigger overlap and argument overlap, the proposed model outperforms the baseline models in terms of Argument Identification and Argument Classification by 0.9%, 1.2%, 0.7%, and 0.6%, respectively, indicating the effectiveness of ROPEE in solving overlapping events.
- 18 November 2023
- Published by MDPI AG in Electronics
- Vol. 12 (22) , 4688
Open AccessJoint Overlapping Event Extraction Model via Role Pre-Judgment with Trigger and Context Embeddings
The objective of event extraction is to recognize event triggers and event categories within unstructured text and produce structured event arguments. However, there is a common phenomenon of triggers and arguments of different event types in a sentence that may be the same word elements, which poses new challenges to this task. In this article, a joint learning framework for overlapping event extraction (ROPEE) is proposed. In this framework, a role pre-judgment module is devised prior to argument extraction. It conducts role pre-judgment by leveraging the correlation between event types and roles, as well as trigger embeddings. Experiments on the FewFC show that the proposed model outperforms other baseline models in terms of Trigger Classification, Argument Identification, and Argument Classification by 0.4%, 0.9%, and 0.6%. In scenarios of trigger overlap and argument overlap, the proposed model outperforms the baseline models in terms of Argument Identification and Argument Classification by 0.9%, 1.2%, 0.7%, and 0.6%, respectively, indicating the effectiveness of ROPEE in solving overlapping events.