Knowledge Commons of Institute of Automation,CAS
Augmentation, Retrieval, Generation: Event Sequence Prediction with a Three-Stage Sequence-to-Sequence Approach | |
Bo Zhou1,2; Chenhao Wang1,2; Yubo Chen1,2; Kang Liu1,2,4; Jun Zhao1,2; Jiexin Xu3; Xiaojian Jiang3; Qiuxia Li3 | |
2022 | |
会议名称 | Proceedings of the 29th International Conference on Computational Linguistics |
会议日期 | 2022-10 |
会议地点 | Gyeongju, Republic of Korea |
出版者 | ACL |
摘要 | Being able to infer possible events related to a specific target is critical to natural language processing. One challenging task in this line is \emph{event sequence prediction}, which aims at predicting a sequence of events given a goal. Currently existing approach models this task as a \emph{statistical induction} problem, to predict a sequence of events by exploring the similarity between the given goal and the known sequences of events. However, this statistical based approach is complex and predicts a limited variety of events. At the same time this approach ignores the rich knowledge of external events that is important for predicting event sequences. In this paper, in order to predict more diverse events, we first reformulate the event sequence prediction problem as a sequence generation problem. Then to leverage external event knowledge, we propose a three-stage model including augmentation, retrieval and generation. Experimental results on the event sequence prediction dataset show that our model outperforms existing methods, demonstrating the effectiveness of the proposed model. |
收录类别 | 其他 |
七大方向——子方向分类 | 自然语言处理 |
国重实验室规划方向分类 | 语音语言处理 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/52312 |
专题 | 多模态人工智能系统全国重点实验室_自然语言处理 |
通讯作者 | Bo Zhou |
作者单位 | 1.School of Artificial Intelligence, University of Chinese Academy of Sciences 2.National Laboratory of Pattern Recognition, CASIA 3.China Merchants Bank 4.Beijing Academy of Artificial Intelligence |
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 | Bo Zhou,Chenhao Wang,Yubo Chen,et al. Augmentation, Retrieval, Generation: Event Sequence Prediction with a Three-Stage Sequence-to-Sequence Approach[C]:ACL,2022. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Augmentation, Retrie(421KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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