An Attention Based Multi-view Model for Sarcasm Cause Detection | |
Hejing Liu1,2![]() ![]() ![]() | |
2021 | |
Conference Name | The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) |
Conference Date | 2021-2-9 |
Conference Place | virtual conference |
Abstract | Sarcasm 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. |
Indexed By | EI |
Language | 英语 |
Sub direction classification | 自然语言处理 |
Document Type | 会议论文 |
Identifier | http://ir.ia.ac.cn/handle/173211/44943 |
Collection | 复杂系统管理与控制国家重点实验室_互联网大数据与信息安全 |
Corresponding Author | Qiudan Li |
Affiliation | 1.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China 2.Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China 3.Shenzhen Artificial Intelligence and Data Science Institute (Longhua) |
First Author Affilication | Institute of Automation, Chinese Academy of Sciences |
Corresponding Author Affilication | Institute of Automation, Chinese Academy of Sciences |
Recommended Citation GB/T 7714 | Hejing Liu,Qiudan Li,Zaichuan Tang,et al. An Attention Based Multi-view Model for Sarcasm Cause Detection[C],2021. |
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Paper#ST138_camera_r(329KB) | 会议论文 | 开放获取 | CC BY-NC-SA | View Download |
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