9 citations · 26 across the 20 of their papers we have counts for
4 papers · 1 filter
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…
Method and Dataset Mining in Scientific Papers
Rujing Yao, Linlin Hou, Yingchun Ye +3
Literature analysis facilitates researchers better understanding the development of science and technology. The conventional literature analysis focuses on the topics, authors, abs…
Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification
Pinlong Zhaoa, Linlin Houb, Ou Wua
Aspect-level sentiment classification aims to distinguish the sentiment polarities over one or more aspect terms in a sentence. Existing approaches mostly model different aspects i…
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…