Composed Variational Natural Language Generation for Few-shot Intents

EMNLP, pp. 3379-3388, 2020.

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Other Links: arxiv.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

In this paper, we focus on generating training examples for few-shot intents in the realistic imbalanced scenario. To build connections between existing many-shot intents and few-shot intents, we consider an intent as a combination of a domain and an action, and propose a composed variational natural language generator (CLANG), a transf...More

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