Composed Variational Natural Language Generation for Few-shot Intents
EMNLP, pp. 3379-3388, 2020.
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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