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Interpretable relevant emotion ranking with event-driven attention
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Yang, Yang, Zhou, Deyu, He, Yulan and Zhang, Meng (2019) Interpretable relevant emotion ranking with event-driven attention. In: 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Hong Kong, China, 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. 177-187. doi:10.18653/v1/D19-1017
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Official URL: https://doi.org/10.18653/v1/D19-1017
Abstract
Multiple emotions with different intensities are often evoked by events described in documents. Oftentimes, such event information is hidden and needs to be discovered from texts. Unveiling the hidden event information can help to understand how the emotions are evoked and provide explainable results. However, existing studies often ignore the latent event information. In this paper, we proposed a novel interpretable relevant emotion ranking model with the event information incorporated into a deep learning architecture using the event-driven attentions. Moreover, corpus-level event embeddings and document-level event distributions are introduced respectively
to consider the global events in corpus and the document-specific events simultaneously. Experimental results on three real-world corpora show that the proposed approach performs remarkably better than the state-of-the-art emotion detection approaches and multi-label approaches. Moreover, interpretable results can be obtained to shed light on the events which trigger certain emotions.
Item Type: | Conference Item (Paper) | ||||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
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: | 2019 | ||||||
Dates: |
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Page Range: | pp. 177-187 | ||||||
DOI: | 10.18653/v1/D19-1017 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 14 September 2019 | ||||||
Date of first compliant Open Access: | 19 September 2019 | ||||||
Funder: | Innovate UK | ||||||
Grant number: | 103652 | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Hong Kong, China | ||||||
Date(s) of Event: | 3-7 Nov 2019 | ||||||
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