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New Intent Discovery with Pre-training and Contrastive Learning. (arXiv:2205.12914v1 [cs.CL])
May 26, 2022, 1:12 a.m. | Yuwei Zhang, Haode Zhang, Li-Ming Zhan, Xiao-Ming Wu, Albert Y.S. Lam
cs.CL updates on arXiv.org arxiv.org
New intent discovery aims to uncover novel intent categories from user
utterances to expand the set of supported intent classes. It is a critical task
for the development and service expansion of a practical dialogue system.
Despite its importance, this problem remains under-explored in the literature.
Existing approaches typically rely on a large amount of labeled utterances and
employ pseudo-labeling methods for representation learning and clustering,
which are label-intensive, inefficient, and inaccurate. In this paper, we
provide new solutions to …
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