中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Hierarchical temporal slot interactions for dialogue state tracking

文献类型:期刊论文

作者Qiu, Junyan1,2; Lin, Ziqi1; Zhang, Haidong1; Yang, Yiping1
刊名NEURAL COMPUTING & APPLICATIONS
出版日期2022-11-07
页码15
关键词Dialogue state tracking Attention mechanism Task-oriented dialogue system Slot interaction
ISSN号0941-0643
DOI10.1007/s00521-022-07959-y
通讯作者Zhang, Haidong(haidong.zhang@ia.ac.cn)
英文摘要Dialogue state tracking (DST), as an essential component of task-oriented dialogue systems, refers to keeping track of the user's intentions as a conversation progresses. Typical methods formulate it as a classification task with fixed pre-defined slot-value pairs, or generate slot-value candidates given the dialogue history. Most of them have limitations on considering interactions of slots with utterance sentences and other slots progressively. To tackle this problem, we propose a Dialogue State Tracker with Hierarchical Temporal Slot Interactions (DST-HTSI) to capture slot-related semantic information from utterance sentences and slots. It firstly captures interactive information among slots within a turn and across turns by applying hierarchical slot interactions. Then a temporal slot interaction module is employed to establish slot dependencies along the time. Finally, a GRU is applied as the decoder to generate values for each slot correspondingly. Furthermore, we also leverage pre-trained language models as the backbone of our model. Experiments show that DST-HTSI outperforms previous state-of-the-art on MultiWOZ 2.2 and WOZ 2.0, and achieves competitive results on MultiWOZ 2.1.
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000879674900005
出版者SPRINGER LONDON LTD
源URL[http://ir.ia.ac.cn/handle/173211/50687]  
专题综合信息系统研究中心_视知觉融合及其应用
通讯作者Zhang, Haidong
作者单位1.Chinese Acad Sci, Inst Automat, Zhongguancun East Rd, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Qiu, Junyan,Lin, Ziqi,Zhang, Haidong,et al. Hierarchical temporal slot interactions for dialogue state tracking[J]. NEURAL COMPUTING & APPLICATIONS,2022:15.
APA Qiu, Junyan,Lin, Ziqi,Zhang, Haidong,&Yang, Yiping.(2022).Hierarchical temporal slot interactions for dialogue state tracking.NEURAL COMPUTING & APPLICATIONS,15.
MLA Qiu, Junyan,et al."Hierarchical temporal slot interactions for dialogue state tracking".NEURAL COMPUTING & APPLICATIONS (2022):15.

入库方式: OAI收割

来源:自动化研究所

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