360 citations · 690 across the 24 of their papers we have counts for
5 papers · 1 filter
Product Function Need Recognition via Semi-supervised Attention Network
Hu Xu, Sihong Xie, Lei Shu +1
Functionality is of utmost importance to customers when they purchase products. However, it is unclear to customers whether a product can really satisfy their needs on functions. F…
Dual Attention Network for Product Compatibility and Function Satisfiability Analysis
Hu Xu, Sihong Xie, Lei Shu +1
Product compatibility and their functionality are of utmost importance to customers when they purchase products, and to sellers and manufacturers when they sell products. Due to th…
DOC: Deep Open Classification of Text Documents
Lei Shu, Hu Xu, Bing Liu
Traditional supervised learning makes the closed-world assumption that the classes appeared in the test data must have appeared in training. This also applies to text learning or t…
Supervised Complementary Entity Recognition with Augmented Key-value Pairs of Knowledge
Hu Xu, Lei Shu, Philip S. Yu
Extracting opinion targets is an important task in sentiment analysis on product reviews and complementary entities (products) are one important type of opinion targets that may wo…
Lifelong Learning CRF for Supervised Aspect Extraction
Lei Shu, Hu Xu, Bing Liu
This paper makes a focused contribution to supervised aspect extraction. It shows that if the system has performed aspect extraction from many past domains and retained their resul…