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Dynamically Retrieving Knowledge via Query Generation for informative dialogue response. (arXiv:2208.00128v1 [cs.CL])
Aug. 2, 2022, 2:12 a.m. | Zhongtian Hu, Yangqi Chen, Yushuang Liu, Lifang Wang
cs.CL updates on arXiv.org arxiv.org
Knowledge-driven dialogue generation has recently made remarkable
breakthroughs. Compared with general dialogue systems, superior
knowledge-driven dialogue systems can generate more informative and
knowledgeable responses with pre-provided knowledge. However, in practical
applications, the dialogue system cannot be provided with corresponding
knowledge in advance. In order to solve the problem, we design a
knowledge-driven dialogue system named DRKQG (\emph{Dynamically Retrieving
Knowledge via Query Generation for informative dialogue response}).
Specifically, the system can be divided into two modules: query generation
module and dialogue …
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