Flexibly-Structured Model for Task-Oriented Dialogues

WS 2019 Lei ShuPiero MolinoMahdi NamazifarHu XuBing LiuHuaixiu ZhengGokhan Tur

This paper proposes a novel end-to-end architecture for task-oriented dialogue systems. It is based on a simple and practical yet very effective sequence-to-sequence approach, where language understanding and state tracking tasks are modeled jointly with a structured copy-augmented sequential decoder and a multi-label decoder for each slot... (read more)

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