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- W4361185847 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." @default.
- W4361185847 created "2023-03-31" @default.
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- W4361185847 date "2023-03-29" @default.
- W4361185847 modified "2023-10-16" @default.
- W4361185847 title "Dialog history management for end-to-end task-oriented dialog systems" @default.
- W4361185847 doi "https://doi.org/10.1117/12.2667733" @default.
- W4361185847 hasPublicationYear "2023" @default.
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