DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications

WS 2018 Wei HeKai LiuJing LiuYajuan LyuShiqi ZhaoXinyan XiaoYuan LiuYizhong WangHua WuQiaoqiao SheXuan LiuTian WuHaifeng Wang

This paper introduces DuReader, a new large-scale, open-domain Chinese ma- chine reading comprehension (MRC) dataset, designed to address real-world MRC. DuReader has three advantages over previous MRC datasets: (1) data sources: questions and documents are based on Baidu Search and Baidu Zhidao; answers are manually generated... (read more)

PDF Abstract

Evaluation Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.