Knowledge Commons of Institute of Automation,CAS
Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks | |
Pengfei Cao1,2![]() ![]() ![]() ![]() ![]() | |
2021 | |
会议名称 | The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing |
会议日期 | August 1-6, 2021 |
会议地点 | Bangkok, Thailand (Online) |
摘要 | Identifying causal relations of events is an important task in natural language processing area. However, the task is very challenging, because event causality is usually expressed in diverse forms that often lack explicit causal clues. Existing methods cannot handle well the problem, especially in the condition of lacking training data. Nonetheless, humans can make a correct judgement based on their background knowledge, including descriptive knowledge and relational knowledge. Inspired by it, we propose a novel Latent Structure Induction Network (LSIN) to incorporate the external structural knowledge into this task. Specifically, to make use of the descriptive knowledge, we devise a Descriptive Graph Induction module to obtain and encode the graph-structured descriptive knowledge. To leverage the relational knowledge, we propose a Relational Graph Induction module which is able to automatically learn a reasoning structure for event causality reasoning. Experimental results on two widely used datasets indicate that our approach significantly outperforms previous state-of-the-art methods. |
学科门类 | 工学 ; 工学::计算机科学与技术(可授工学、理学学位) |
收录类别 | EI |
资助项目 | National Natural Science Foundation of China[61806201] |
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/173211/44857 |
专题 | 多模态人工智能系统全国重点实验室_自然语言处理 |
作者单位 | 1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences 2.School of Artificial Intelligence, University of Chinese Academy of Sciences 3.Beijing Baidu Netcom Science Technology Co., Ltd |
第一作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Pengfei Cao,Xinyu Zuo,Yubo Chen,et al. Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks[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 | ||
ACL2021_CR.pdf(421KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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