Using Textual Interface to Align External Knowledge for End-to-End Task-Oriented Dialogue Systems

• URL: http://arxiv.org/abs/2305.13710v1
• Date: Tue, 23 May 2023 05:48:21 GMT
• Title: Using Textual Interface to Align External Knowledge for End-to-End Task-Oriented Dialogue Systems
• Authors: Qingyang Wu, Deema Alnuhait, Derek Chen, Zhou Yu
• Abstract summary: We propose a novel paradigm that uses a textual interface to align external knowledge and eliminate redundant processes. We demonstrate our paradigm in practice through MultiWOZ-Remake, including an interactive textual interface built for the MultiWOZ database.
• Score: 53.38517204698343
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Traditional end-to-end task-oriented dialogue systems have been built with a modularized design. However, such design often causes misalignment between the agent response and external knowledge, due to inadequate representation of information. Furthermore, its evaluation metrics emphasize assessing the agent's pre-lexicalization response, neglecting the quality of the completed response. In this work, we propose a novel paradigm that uses a textual interface to align external knowledge and eliminate redundant processes. We demonstrate our paradigm in practice through MultiWOZ-Remake, including an interactive textual interface built for the MultiWOZ database and a correspondingly re-processed dataset. We train an end-to-end dialogue system to evaluate this new dataset. The experimental results show that our approach generates more natural final responses and achieves a greater task success rate compared to the previous models.

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