Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems

14 Aug 2020 Andrea Madotto Zihan Liu Zhaojiang Lin Pascale Fung

Task-oriented dialogue systems use four connected modules, namely, Natural Language Understanding (NLU), a Dialogue State Tracking (DST), Dialogue Policy (DP) and Natural Language Generation (NLG). A research challenge is to learn each module with the least amount of samples (i.e., few-shots) given the high cost related to the data collection... (read more)

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