Event Process Typing via Hierarchical Optimal Transport | |
Bo Zhou2,3; Yubo Chen2,3; Kang Liu1,2,3; Jun Zhao2,3 | |
2023 | |
会议日期 | 2023-2 |
会议地点 | Washington DC, USA |
英文摘要 | Understanding intention behind event processes in texts is important to many applications. One challenging task in this line is event process typing, which aims to tag the process with one action label and one object label describing the overall action of the process and object the process likely affects respectively. To tackle this task, existing methods mainly rely on the matching of the event process level and label level representation, which ignores two important characteristics: Process Hierarchy and Label Hierarchy. In this paper, we propose a \textbf{H}ierarchical \textbf{O}ptimal \textbf{T}ransport (HOT) method to address the above problem. Specifically, we first explicitly extract the process hierarchy and label hierarchy. Then the HOT optimally matches the two types of hierarchy. Experimental results show that our model outperforms the baseline models, illustrating the effectiveness of our model. |
会议录出版者 | AAAI |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/52311] |
专题 | 模式识别国家重点实验室_自然语言处理 |
通讯作者 | Bo Zhou |
作者单位 | 1.Beijing Academy of Artificial Intelligence 2.National Laboratory of Pattern Recognition, CASIA 3.School of Artificial Intelligence, University of Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Bo Zhou,Yubo Chen,Kang Liu,et al. Event Process Typing via Hierarchical Optimal Transport[C]. 见:. Washington DC, USA. 2023-2. |
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