30 citations · 43 across the 3 of their papers we have counts for
3 papers
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…
cs.LG2012★ 5 cited
Hybrid Generative/Discriminative Learning for Automatic Image Annotation
Shuang Hong Yang, Jiang Bian, Hongyuan Zha
Automatic image annotation (AIA) raises tremendous challenges to machine learning as it requires modeling of data that are both ambiguous in input and output, e.g., images containi…