4.8k citations · 4.8k across the 2 of their papers we have counts for
4 papers
An Attention-based Collaboration Framework for Multi-View Network Representation Learning
Meng Qu, Jian Tang, Jingbo Shang +3
Learning distributed node representations in networks has been attracting increasing attention recently due to its effectiveness in a variety of applications. Existing approaches u…
Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction
Yichun Yin, Furu Wei, Li Dong +3
In this paper, we develop a novel approach to aspect term extraction based on unsupervised learning of distributed representations of words and dependency paths. The basic idea is…
StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation
Xiang Li, Lili Mou, Rui Yan +1
Existing open-domain human-computer conversation systems are typically passive: they either synthesize or retrieve a reply provided a human-issued utterance. It is generally presum…
LINE: Large-scale Information Network Embedding
Jian Tang, Meng Qu, Mingzhe Wang +3
This paper studies the problem of embedding very large information networks into low-dimensional vector spaces, which is useful in many tasks such as visualization, node classifica…