word2vec   1646

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Word Representations via Gaussian Embedding
Luke Vilnis
Andrew McCallum
University of Massachusetts Amherst
word2vec 
2 days ago by hustwj
commonsense/conceptnet-numberbatch
Contribute to conceptnet-numberbatch development by creating an account on GitHub.
word2vec 
11 days ago by pmigdal
Learning Composition Models for Phrase Embeddings
Mo Yu
Machine Intelligence
& Translation Lab
Harbin Institute of Technology
Harbin, China
gflfof@gmail.com
Mark Dredze
Human Language Technology Center of Excellence
Center for Language and Speech Processing
Johns Hopkins University
Baltimore, MD, 21218
mdredze@cs.jhu.edu
word2vec 
15 days ago by hustwj
Adaptive Joint Learning of Compositional and Non-Compositional Phrase Embeddings
Kazuma Hashimoto and Yoshimasa Tsuruoka
The University of Tokyo, 3-7-1 Hongo, Bunkyo-ku, Tokyo, Japan
{hassy,tsuruoka}@logos.t.u-tokyo.ac.jp
word2vec 
15 days ago by hustwj

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