Can Pre-trained Language Models Understand Chinese Humor?-Reference-Cited by-同舟云学术

Can Pre-trained Language Models Understand Chinese Humor?

Published:2023-02-27 Issue: Volume: Page:
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Container-title:Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining
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Author:

Chen Yuyan¹,Li Zhixu¹,Liang Jiaqing²,Xiao Yanghua³,Liu Bang⁴,Chen Yunwen⁵

Affiliation:

1. Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China

2. School of Data Science, Fudan University, Shanghai, China

3. Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University & Fudan-Aishu Cognitive Intelligence Joint Research Center, Shanghai, China

4. RALI & Mila, Université de Montréal, Montréal, Canada

5. DataGrand Inc., Shanghai, China

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality Grant

Shanghai Municipal Science and Technology Major Project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539597.3570431

Reference37 articles.

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3. Humor

4. Andrew Cattle and Xiaojuan Ma . 2018 . Recognizing Humour using Word Associ- ations and Humour Anchor Extraction . In Proceedings of the 27th International Conference on Computational Linguistics. Association for Computational Lin- guistics , Santa Fe, New Mexico, USA , 1849--1858. https://www.aclweb.org/ anthology/C18--1157 Andrew Cattle and Xiaojuan Ma. 2018. Recognizing Humour using Word Associ- ations and Humour Anchor Extraction. In Proceedings of the 27th International Conference on Computational Linguistics. Association for Computational Lin- guistics, Santa Fe, New Mexico, USA, 1849--1858. https://www.aclweb.org/ anthology/C18--1157

5. Lei Chen and Chong M In Lee . 2017. Predicting audience's laughter using convo- lutional neural network. arXiv preprint arXiv:1702.02584 ( 2017 ). Lei Chen and Chong MIn Lee. 2017. Predicting audience's laughter using convo- lutional neural network. arXiv preprint arXiv:1702.02584 (2017).