Dialog history management for end-to-end task-oriented dialog systems

Shijia Nie; Guanjun Li; Xuesong Zhang; Dawei Zhang; Jianhua Tao; Zhao Lv

doi:10.1117/12.2667733

28 March 2023 Dialog history management for end-to-end task-oriented dialog systems

Shijia Nie, Guanjun Li, Xuesong Zhang, Dawei Zhang, Jianhua Tao, Zhao Lv

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125660V (2023) https://doi.org/10.1117/12.2667733
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

End-to-end task-oriented dialogue systems rely heavily on an understanding of the dialog history. This often faces the challenge of inferring which dialog history information is critical to generating responses. In this paper, we address this challenge by leveraging a dialog history manager component that dynamically focuses on dialog history memory. It performs multiple add and forget operations by fusing an enhanced entity representation of dialog history and Knowledge Base (KB) information as queries, remembering entities relevant to responses and filtering out unimportant information. Experimental results on an open task-oriented dialogue dataset show that our model outperforms the baseline system in terms of effectiveness and produces contextually consistent responses.

Citation Download Citation

Shijia Nie, Guanjun Li, Xuesong Zhang, Dawei Zhang, Jianhua Tao, and Zhao Lv "Dialog history management for end-to-end task-oriented dialog systems", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125660V (28 March 2023); https://doi.org/10.1117/12.2667733

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