Dynamic Fusion Networks for Machine Reading Comprehension

14 Nov 2017Yichong XuJingjing LiuJianfeng GaoYelong ShenXiaodong Liu

This paper presents a novel neural model - Dynamic Fusion Network (DFN), for machine reading comprehension (MRC). DFNs differ from most state-of-the-art models in their use of a dynamic multi-strategy attention process, in which passages, questions and answer candidates are jointly fused into attention vectors, along with a dynamic multi-step reasoning module for generating answers... (read more)

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