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Phonetics and Ambiguity Comprehension Gated Attention Network for Humor Recognition
Joint Authors
Lin, Hongfei
Chu, Yonghe
Yang, Liang
Diao, Yufeng
Shen, Chen
Fan, Xiaochao
Zhang, Tongxuan
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-29
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Humor refers to the quality of being amusing.
With the development of artificial intelligence, humor recognition is attracting a lot of research attention.
Although phonetics and ambiguity have been introduced by previous studies, existing recognition methods still lack suitable feature design for neural networks.
In this paper, we illustrate that phonetics structure and ambiguity associated with confusing words need to be learned for their own representations via the neural network.
Then, we propose the Phonetics and Ambiguity Comprehension Gated Attention network (PACGA) to learn phonetic structures and semantic representation for humor recognition.
The PACGA model can well represent phonetic information and semantic information with ambiguous words, which is of great benefit to humor recognition.
Experimental results on two public datasets demonstrate the effectiveness of our model.
American Psychological Association (APA)
Fan, Xiaochao& Lin, Hongfei& Yang, Liang& Diao, Yufeng& Shen, Chen& Chu, Yonghe…[et al.]. 2020. Phonetics and Ambiguity Comprehension Gated Attention Network for Humor Recognition. Complexity،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1141057
Modern Language Association (MLA)
Fan, Xiaochao…[et al.]. Phonetics and Ambiguity Comprehension Gated Attention Network for Humor Recognition. Complexity No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1141057
American Medical Association (AMA)
Fan, Xiaochao& Lin, Hongfei& Yang, Liang& Diao, Yufeng& Shen, Chen& Chu, Yonghe…[et al.]. Phonetics and Ambiguity Comprehension Gated Attention Network for Humor Recognition. Complexity. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1141057
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141057