An Attention Based Multi-view Model for Sarcasm Cause Detection (Student Abstract)
Keywords:Sarcasm Cause Detection, Attention Mechanism, Multi-view Manner
AbstractSarcasm often relates to people’s implicit discontent with certain products and policies. Existing research mainly focus on sarcasm detection, while the deep causal relationships in the full conversation remained unexplored. This paper formulates a novel research question of sarcasm cause detection, and proposes an attention based model that simultaneously captures different semantic associations as well as the inner causal logics in multi-view manner. Experiments on public Reddit dataset prove the efficacy of the proposed model.
How to Cite
Liu, H., Li, Q., Tang, Z., & Bai, J. (2021). An Attention Based Multi-view Model for Sarcasm Cause Detection (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 35(18), 15833-15834. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/17913
AAAI Student Abstract and Poster Program