most citedJointly Learning Word Embeddings and Latent Topics

77 citations · 77 across the 1 of their papers we have counts for

collaborators

1 paper

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…