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A knowledge regularized hierarchical approach for emotion cause analysis
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Fan, Chuang, Yan, Hongyu, Du, Jiachen, Gui, Lin, Bing, Lidong, Yang, Min, Xu, Ruifeng and Mao, Ruibin (2019) A knowledge regularized hierarchical approach for emotion cause analysis. In: 2019 Conference on Empirical Methods in Natural Language Processing, Hong Kong, 3-7 Nov 2019. Published in: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) pp. 5618-5628. doi:10.18653/v1/D19-1563
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Official URL: http://doi.org/10.18653/v1/D19-1563
Abstract
Emotion cause analysis, which aims to identify the reasons behind emotions, is a key topic in sentiment analysis. A variety of neural network models have been proposed recently, however, these previous models mostly focus on the learning architecture with local textual information, ignoring the discourse and prior knowledge, which play crucial roles in human text comprehension. In this paper, we propose a new method to extract emotion cause with a hierarchical neural model and knowledge-based regularizations, which aims to incorporate discourse context information and restrain the parameters by sentiment lexicon and common knowledge. The experimental results demonstrate that our proposed method achieves the state-of-the-art performance on two public datasets in different languages (Chinese and English), outperforming a number of competitive baselines by at least 2.08% in F-measure.
Item Type: | Conference Item (Paper) | |||||||||||||||||||||||||||
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Subjects: | B Philosophy. Psychology. Religion > BF Psychology P Language and Literature > P Philology. Linguistics Q Science > QA Mathematics |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | |||||||||||||||||||||||||||
Library of Congress Subject Headings (LCSH): | Computational linguistics -- Congresses, Natural language processing (Computer science), Computational intelligence, Human-computer interaction, Emotion recognition | |||||||||||||||||||||||||||
Journal or Publication Title: | Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) | |||||||||||||||||||||||||||
Publisher: | Association for Computational Linguistics | |||||||||||||||||||||||||||
Official Date: | 3 November 2019 | |||||||||||||||||||||||||||
Dates: |
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Page Range: | pp. 5618-5628 | |||||||||||||||||||||||||||
DOI: | 10.18653/v1/D19-1563 | |||||||||||||||||||||||||||
Status: | Peer Reviewed | |||||||||||||||||||||||||||
Publication Status: | Published | |||||||||||||||||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | |||||||||||||||||||||||||||
Date of first compliant deposit: | 17 September 2019 | |||||||||||||||||||||||||||
Date of first compliant Open Access: | 22 November 2019 | |||||||||||||||||||||||||||
RIOXX Funder/Project Grant: |
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Conference Paper Type: | Paper | |||||||||||||||||||||||||||
Title of Event: | 2019 Conference on Empirical Methods in Natural Language Processing | |||||||||||||||||||||||||||
Type of Event: | Conference | |||||||||||||||||||||||||||
Location of Event: | Hong Kong | |||||||||||||||||||||||||||
Date(s) of Event: | 3-7 Nov 2019 | |||||||||||||||||||||||||||
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