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Efficient slot correlation learning network for multi-domain dialogue state tracking

文献类型：期刊论文

作者Li, Qianyu1; Zhang, Wensheng1,2; Huang, Mengxing1
刊名JOURNAL OF SUPERCOMPUTING
出版日期2023-05-16
页码22
ISSN号0920-8542
关键词Dialogue state tracking Task-oriented dialogue systems Joint goal accuracy Slot correlation
DOI10.1007/s11227-023-05217-z
通讯作者Zhang, Wensheng(wensheng.zhang@ia.ac.cn)
英文摘要Task-oriented dialogue systems depend on dialogue state tracking to keep track of the intentions of users in the course of conversations. Recent studies in dialogue state tracking have achieved good performance, although the great majority of them do not consider slot correlation and just predict the value of every slot separately. In this work, we propose an efficient slot correlation learning network that can capture the correlations among slots as precisely as possible. Specifically, a BERT-base-uncased encoder is first applied to encode the dialogue context, slot names and their corresponding values. Second, we design a cross multi-head attention module to calculate and fuse attention among dialogue context embedding, slot name embedding and corresponding value embedding, which extracts relevant features and provides them to other components to fully catch the slot-specific information of every slot. Finally, a transformer encoder module is used to catch the correlations among slots. Experimental results on MultiWOZ 2.0, MultiWOZ 2.1, and MultiWOZ 2.4 datasets demonstrate the effectiveness of our approach with 55.14%, 57.22% and 76.93% joint goal accuracy, respectively, which achieves new state-of-the-art performance.
资助项目National Key Research and Development Program of China[2018AAA0102100] ; National Natural Science Foundation of China[61976212] ; Hainan Provincial Natural Science 683 Foundation of China[621MS019]
WOS研究方向Computer Science ; Engineering
语种英语
出版者SPRINGER
WOS记录号WOS:000988684600004
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Hainan Provincial Natural Science 683 Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/53347]  
专题精密感知与控制研究中心_人工智能与机器学习
通讯作者Zhang, Wensheng
作者单位1.Hainan Univ, Sch Informat & Commun Engn, Haikou 570100, Hainan, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Li, Qianyu,Zhang, Wensheng,Huang, Mengxing. Efficient slot correlation learning network for multi-domain dialogue state tracking[J]. JOURNAL OF SUPERCOMPUTING,2023:22.
APA Li, Qianyu,Zhang, Wensheng,&Huang, Mengxing.(2023).Efficient slot correlation learning network for multi-domain dialogue state tracking.JOURNAL OF SUPERCOMPUTING,22.
MLA Li, Qianyu,et al."Efficient slot correlation learning network for multi-domain dialogue state tracking".JOURNAL OF SUPERCOMPUTING (2023):22.

入库方式： OAI收割

来源：自动化研究所

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