Learning Multi-Level Information for Dialogue Response Selection by Highway Recurrent Transformer

21 Mar 2019Ting-Rui ChiangChao-Wei HuangShang-Yu SuYun-Nung Chen

With the increasing research interest in dialogue response generation, there is an emerging branch formulating this task as selecting next sentences, where given the partial dialogue contexts, the goal is to determine the most probable next sentence. Following the recent success of the Transformer model, this paper proposes (1) a new variant of attention mechanism based on multi-head attention, called highway attention, and (2) a recurrent model based on transformer and the proposed highway attention, so-called Highway Recurrent Transformer... (read more)

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