A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict

Yiyi Liu, Yequan Wang, Aixin Sun, Xuying Meng, Jing Li, Jiafeng Guo


Abstract
Sarcasm employs ambivalence, where one says something positive but actually means negative, and vice versa. The essence of sarcasm, which is also a sufficient and necessary condition, is the conflict between literal and implied sentiments expressed in one sentence. However, it is difficult to recognize such sentiment conflict because the sentiments are mixed or even implicit. As a result, the recognition of sophisticated and obscure sentiment brings in a great challenge to sarcasm detection. In this paper, we propose a Dual-Channel Framework by modeling both literal and implied sentiments separately. Based on this dual-channel framework, we design the Dual-Channel Network (DC-Net) to recognize sentiment conflict. Experiments on political debates (i.e. IAC-V1 and IAC-V2) and Twitter datasets show that our proposed DC-Net achieves state-of-the-art performance on sarcasm recognition. Our code is released to support research.
Anthology ID:
2022.findings-naacl.126
Volume:
Findings of the Association for Computational Linguistics: NAACL 2022
Month:
July
Year:
2022
Address:
Seattle, United States
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1670–1680
Language:
URL:
https://aclanthology.org/2022.findings-naacl.126
DOI:
10.18653/v1/2022.findings-naacl.126
Bibkey:
Cite (ACL):
Yiyi Liu, Yequan Wang, Aixin Sun, Xuying Meng, Jing Li, and Jiafeng Guo. 2022. A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict. In Findings of the Association for Computational Linguistics: NAACL 2022, pages 1670–1680, Seattle, United States. Association for Computational Linguistics.
Cite (Informal):
A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict (Liu et al., Findings 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.findings-naacl.126.pdf
Video:
 https://aclanthology.org/2022.findings-naacl.126.mp4
Code
 yiyi-ict/dual-channel-for-sarcasm
Data
SARC