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Query-Response Interactions by Multi-tasks in Semantic Search for Chatbot Candidate Retrieval. (arXiv:2208.11018v1 [cs.CL])
Aug. 24, 2022, 1:14 a.m. | Libin Shi, Kai Zhang, Wenge Rong
cs.CL updates on arXiv.org arxiv.org
Semantic search for candidate retrieval is an important yet neglected problem
in retrieval-based Chatbots, which aims to select a bunch of candidate
responses efficiently from a large pool. The existing bottleneck is to ensure
the model architecture having two points: 1) rich interactions between a query
and a response to produce query-relevant responses; 2) ability of separately
projecting the query and the response into latent spaces to apply efficiently
in semantic search during online inference. To tackle this problem, we …
More from arxiv.org / cs.CL updates on arXiv.org
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