Papers
12 papers found
Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection
Xiaobao Wang, Yiqi Dong, Di Jin et al.
Mutual-Enhanced Incongruity Learning Network for Multi-Modal Sarcasm Detection
Yang Qiao, Liqiang Jing, Xuemeng Song et al.
Dynamic Routing Transformer Network for Multimodal Sarcasm Detection
Yuan Tian, Nan Xu, Ruike Zhang et al.
Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction
Changrong Min, Ximing Li, Liang Yang et al.
Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation
Liqiang Jing, Xuemeng Song, Kun Ouyang et al.
Multi-modal Sarcasm Generation: Dataset and Solution
Wenye Zhao, Qingbao Huang, Dongsheng Xu et al.
MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System
Libo Qin, Shijue Huang, Qiguang Chen et al.
DIP: Dual Incongruity Perceiving Network for Sarcasm Detection
Changsong Wen, Guoli Jia, Jufeng Yang
Prompt Tuning with Contradictory Intentions for Sarcasm Recognition
Yiyi Liu, Ruqing Zhang, Yixing Fan et al.
Predict and Use: Harnessing Predicted Gaze to Improve Multimodal Sarcasm Detection
Divyank Tiwari, Diptesh Kanojia, Anupama Ray et al.
The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation
Tyler Loakman, Aaron Maladry, Chenghua Lin
Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection
Zhe Yu, Di Jin, Xiaobao Wang et al.