Answer-driven Deep Question Generation based on Reinforcement Learning

no code implementations • COLING 2020 • Liuyin Wang, Zihan Xu, Zibo Lin, Haitao Zheng, Ying Shen

First, we propose an answer-aware initialization module with a gated connection layer which introduces both document and answer information to the decoder, thus helping to guide the choice of answer-focused question words.

Decoder Question Generation +3