9 citations · 26 across the 20 of their papers we have counts for
Showing 2019 · cs.CLShow all
3 papers · 2 filters
cs.CL2019★ 1 cited
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★ 9 cited
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…
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…