9 citations · 9 across the 2 of their papers we have counts for
4 papers
Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention
Linlin Hou, Ji Zhang, Ou Wu +6
Literature analysis facilitates researchers to acquire a good understanding of the development of science and technology. The traditional literature analysis focuses largely on the…
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…