437 citations · 1.4k across the 31 of their papers we have counts for
4 papers · 1 filter
Stochastic Answer Networks for Machine Reading Comprehension
Xiaodong Liu, Yelong Shen, Kevin Duh +1
We propose a simple yet robust stochastic answer network (SAN) that simulates multi-step reasoning in machine reading comprehension. Compared to previous work such as ReasoNet whic…
An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks
Yelong Shen, Xiaodong Liu, Kevin Duh +1
Reading comprehension (RC) is a challenging task that requires synthesis of information across sentences and multiple turns of reasoning. Using a state-of-the-art RC model, we empi…
Language-Based Image Editing with Recurrent Attentive Models
Jianbo Chen, Yelong Shen, Jianfeng Gao +2
We investigate the problem of Language-Based Image Editing (LBIE). Given a source image and a natural language description, we want to generate a target image by editing the source…
Dynamic Fusion Networks for Machine Reading Comprehension
Yichong Xu, Jingjing Liu, Jianfeng Gao +2
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 dy…