30 citations · 72 across the 5 of their papers we have counts for
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cs.CL2014★ 30 cited
WordRep: A Benchmark for Research on Learning Word Representations
Bin Gao, Jiang Bian, Tie-Yan Liu
WordRep is a benchmark collection for the research on learning distributed word representations (or word embeddings), released by Microsoft Research. In this paper, we describe the…
cs.CL2014★ 8 cited
KNET: A General Framework for Learning Word Embedding using Morphological Knowledge
Qing Cui, Bin Gao, Jiang Bian +2
Neural network techniques are widely applied to obtain high-quality distributed representations of words, i.e., word embeddings, to address text mining, information retrieval, and…