360 citations · 935 across the 27 of their papers we have counts for
Showing 2018 · cs.CLShow all
3 papers · 2 filters
cs.CL2018★ 78 cited
Open-world Learning and Application to Product Classification
Hu Xu, Bing Liu, Lei Shu +1
Classic supervised learning makes the closed-world assumption, meaning that classes seen in testing must have been seen in training. However, in the dynamic world, new or unseen cl…
cs.CL2018★ 13 cited
Lifelong Domain Word Embedding via Meta-Learning
Hu Xu, Bing Liu, Lei Shu +1
Learning high-quality domain word embeddings is important for achieving good performance in many NLP tasks. General-purpose embeddings trained on large-scale corpora are often sub-…
cs.CL2018★ 53 cited
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction
Hu Xu, Bing Liu, Lei Shu +1
One key task of fine-grained sentiment analysis of product reviews is to extract product aspects or features that users have expressed opinions on. This paper focuses on supervised…