【摘 要】
：
Most of the current man-machine dialogues are at the two end-points of a spectrum of dialogues,i.e.goal-driven dialogues and non goal-driven chitchats.Document-driven dialogues provide a bridge betwee
【机 构】
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Beijing University of Posts and Telecommunications
【出 处】
：
第十八届中国计算语言学大会暨中国中文信息学会2019学术年会
论文部分内容阅读
Most of the current man-machine dialogues are at the two end-points of a spectrum of dialogues,i.e.goal-driven dialogues and non goal-driven chitchats.Document-driven dialogues provide a bridge between them with the change of documents from structured data to unstructured free texts.This paper proposes a Document Driven Dialogue Generation model(D3G)which generates dialogues centering a given document,as well as answering users questions.A Doc-Reader mechanism is designed to locate the content related to users questions in documents.A Multi-Copy mechanism is employed to generate documentrelated responses.And the dialogue history is used in both mechanisms.Experimental results on the CMU DOG dataset show that our D3G model can not only generate informative responses that are more relevant to the document,but also answer users questions better than the baseline models.
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