SICKNet: A Humor Detection Network Integrating Semantic Incongruity and Commonsense Knowledge-Reference-Cited by-同舟云学术

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SICKNet: A Humor Detection Network Integrating Semantic Incongruity and Commonsense Knowledge

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI)
language:
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Author:

Huang Penglong¹,Zeng Xingwei¹,Weng Jinta²,Gao Ying¹,Huang Heyan³,Tang Maobin¹

Affiliation:

1. School of Computer Science and Cyber Engineering, Guangzhou University,Guangzhou,China

2. School of Cyber Security, University of Chinese Academy of Sciences,Beijing,China

3. School of Computer Science and Technology, Beijing Institute of Technology,Beijing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10097829/10097885/10098043.pdf?arnumber=10098043

Reference36 articles.

1. Humor Detection: A Transformer Gets the Last Laugh

2. Pytorch: An imperative style, high-performance deep learning library;paszke;Neural Information Processing Systems,2019

3. A multi-granularity semantic interaction understanding network for humor level recognition (in Chinese);zhang;Proceedings of the 19th Chinese National Conference on Computational Linguistics,0

4. Transformers: State-of-the-Art Natural Language Processing

5. Humor Recognition and Humor Anchor Extraction

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