2 papers
cs.CL2019
Deep Human Answer Understanding for Natural Reverse QA
Rujing Yao, Linlin Hou, Lei Yang +3
This study focuses on a reverse question answering (QA) procedure, in which machines proactively raise questions and humans supply the answers. This procedure exists in many real h…
cs.CL2019
Semi-interactive Attention Network for Answer Understanding in Reverse-QA
Qing Yin, Guan Luo, Xiaodong Zhu +2
Question answering (QA) is an important natural language processing (NLP) task and has received much attention in academic research and industry communities. Existing QA studies as…