30 citations · 72 across the 5 of their papers we have counts for
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cs.CL2015
Learning Better Word Embedding by Asymmetric Low-Rank Projection of Knowledge Graph
Fei Tian, Bin Gao, Enhong Chen +1
Word embedding, which refers to low-dimensional dense vector representations of natural words, has demonstrated its power in many natural language processing tasks. However, it may…
cs.CL2015★ 20 cited
Solving Verbal Comprehension Questions in IQ Test by Knowledge-Powered Word Embedding
Huazheng Wang, Fei Tian, Bin Gao +2
Intelligence Quotient (IQ) Test is a set of standardized questions designed to evaluate human intelligence. Verbal comprehension questions appear very frequently in IQ tests, which…