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Out-of-domain Detection for Natural Language Understanding in Dialog Systems. (arXiv:1909.03862v4 [cs.CL] UPDATED)
May 25, 2022, 1:12 a.m. | Yinhe Zheng, Guanyi Chen, Minlie Huang
cs.CL updates on arXiv.org arxiv.org
Natural Language Understanding (NLU) is a vital component of dialogue
systems, and its ability to detect Out-of-Domain (OOD) inputs is critical in
practical applications, since the acceptance of the OOD input that is
unsupported by the current system may lead to catastrophic failure. However,
most existing OOD detection methods rely heavily on manually labeled OOD
samples and cannot take full advantage of unlabeled data. This limits the
feasibility of these models in practical applications.
In this paper, we propose a …
arxiv detection language natural natural language systems understanding
More from arxiv.org / cs.CL updates on arXiv.org
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