80 citations · 311 across the 38 of their papers we have counts for
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cs.CL2017★ 1 cited
Modeling Semantic Relatedness using Global Relation Vectors
Shoaib Jameel, Zied Bouraoui, Steven Schockaert
Word embedding models such as GloVe rely on co-occurrence statistics from a large corpus to learn vector representations of word meaning. These vectors have proven to capture surpr…
cs.CL2017★ 77 cited
Jointly Learning Word Embeddings and Latent Topics
Bei Shi, Wai Lam, Shoaib Jameel +2
Word embedding models such as Skip-gram learn a vector-space representation for each word, based on the local word collocation patterns that are observed in a text corpus. Latent t…