Institutional Repository of Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Incremental Learning from Scratch for Task-Oriented Dialogue Systems | |
Weikang Wang; Jiajun Zhang; Qian Li; Mei-Yuh Hwang; Chengqing Zong; Zhifei Li | |
2019 | |
会议名称 | ACL-2019 |
会议日期 | 2019 |
会议地点 | Florence, Italia |
摘要 | Clarifying user needs is essential for existing task-oriented dialogue systems. However, in real-world applications, developers can never guarantee that all possible user demands are taken into account in the design phase. Consequently, existing systems will break down when encountering unconsidered user needs. To address this problem, we propose a novel incremental learning framework to design task-oriented dialogue systems, or for short Incremental Dialogue System (IDS), without pre-defining the exhaustive list of user needs. Specifically, we introduce an uncertainty estimation module to evaluate the confidence of giving correct responses. If there is high confidence, IDS will provide responses to users. Otherwise, humans will be involved in the dialogue process, and IDS can learn from human intervention through an online learning module. To evaluate our method, we propose a new dataset which simulates unanticipated user needs in the deployment stage. Experiments show that IDS is robust to unconsidered user actions, and can update itself online by smartly selecting only the most effective training data, and hence attains better performance with less annotation cost. |
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/173211/26135 |
专题 | 模式识别国家重点实验室_自然语言处理 |
作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Weikang Wang,Jiajun Zhang,Qian Li,et al. Incremental Learning from Scratch for Task-Oriented Dialogue Systems[C],2019. |
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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 | ||
P19-1361.pdf(1511KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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