Web: http://arxiv.org/abs/2201.10588

Jan. 27, 2022, 2:10 a.m. | Jingyan Zhou, Xiaohan Feng, King Keung Wu, Helen Meng

cs.CL updates on arXiv.org arxiv.org

Popular approaches for Natural Language Understanding (NLU) usually rely on a
huge amount of annotated data or handcrafted rules, which is laborious and not
adaptive to domain extension. We recently proposed a
Convex-Polytopic-Model-based framework that shows great potential in
automatically extracting semantic patterns by exploiting the raw dialog corpus.
The extracted semantic patterns can be used to generate semantic frames, which
is essential in assisting NLU tasks. This paper further studies the CPM model
in depth and visualizes its high …

arxiv data language modelling natural natural language semantic unsupervised

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