Fan, Chuang, Yuan, Chaofa, Du, Jiachen, Gui, Lin, Yang, Min and Xu, Ruifeng (2020) Transition-based directed graph construction for emotion-cause pair extraction. In: 2020 Annual Conference of the Association for Computational Linguistics, 5-10 Jul 2020 . Published in: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics pp. 3707-3717. doi:10.18653/v1/2020.acl-main.342
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Abstract
Emotion-cause pair extraction aims to extract all potential pairs of emotions and corresponding causes from unannotated emotion text. Most existing methods are pipelined framework, which identifies emotions and extracts causes separately, leading to a drawback of error propagation. Towards this issue, we propose a transition-based model to transform the task into a procedure of parsing-like directed graph construction. The proposed model incrementally generates the directed graph with labeled edges based on a sequence of actions, from which we can recognize emotions with the corresponding causes simultaneously, thereby optimizing separate subtasks jointly and maximizing mutual benefits of tasks interdependently. Experimental results show that our approach achieves the best performance, outperforming the state-of-the-art methods by 6.71% (p<0.01) in F1 measure.
| Item Type: | Conference Item (Paper) |
|---|---|
| Subjects: | P Language and Literature > P Philology. Linguistics Q Science > Q Science (General) Q Science > QA Mathematics Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science |
| Library of Congress Subject Headings (LCSH): | Language and logic, Computational linguistics, Natural language processing (Computer science), Machine learning |
| Journal or Publication Title: | Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics |
| Publisher: | Association for Computational Linguistics |
| Official Date: | July 2020 |
| Dates: | Date Event July 2020 Published 14 April 2020 Accepted |
| Page Range: | pp. 3707-3717 |
| DOI: | 10.18653/v1/2020.acl-main.342 |
| Status: | Peer Reviewed |
| Publication Status: | Published |
| Access rights to Published version: | Restricted or Subscription Access |
| Date of first compliant deposit: | 12 May 2020 |
| Date of first compliant Open Access: | 27 August 2020 |
| RIOXX Funder/Project Grant: | Project/Grant ID RIOXX Funder Name Funder ID JCYJ20180507183527919 Science, Technology and Innovation Commission of Shenzhen Municipality JCYJ20180507183608379 Science, Technology and Innovation Commission of Shenzhen Municipality AWS13C008 People's Liberation Army University of Science and Technology |
| Conference Paper Type: | Paper |
| Title of Event: | 2020 Annual Conference of the Association for Computational Linguistics |
| Type of Event: | Conference |
| Date(s) of Event: | 5-10 Jul 2020 |
| Related URLs: | |
| URI: | https://wrap.warwick.ac.uk/136667/ |
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