Search Results for author: Shuang Guo

Found 2 papers, 1 papers with code

Learning to Decompose Compound Questions with Reinforcement Learning

no code implementations ICLR 2019 Haihong Yang, Han Wang, Shuang Guo, Wei zhang, Huajun Chen

Our model consists of two parts: (i) a novel learning-to-decompose agent that learns a policy to decompose a compound question into simple questions and (ii) three independent simple-question answerers that classify the corresponding relations for each simple question.

Question Answering reinforcement-learning +1

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