An Attention Based Multi-view Model for Sarcasm Cause Detection | |
Hejing Liu1,2; Qiudan Li2,3; Zaichuan Tang1,2; Jie Bai2,3 | |
2021 | |
会议名称 | The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) |
会议日期 | 2021-2-9 |
会议地点 | virtual conference |
摘要 | 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. |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 自然语言处理 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44943 |
专题 | 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 |
通讯作者 | Qiudan Li |
作者单位 | 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) |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 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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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Paper#ST138_camera_r(329KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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