#MOOC Machine Reading with Word Vectors (ft. Martin Jaggi)
Ajoutée le 2 févr. 2017
This video discusses how to represent words by vectors, as prescribed by word2vec. It features Martin Jaggi, Assistant Professor of the IC School at EPFL.
https://people.epfl.ch/martin.jaggi
Tomas Mikolov, Kai Chen, Greg Corrado and Jeffrey Dean (2013). Efficient Estimation of Word Representations in
Vector Space.
https://arxiv.org/pdf/1301.3781v3.pdf
Omar Levy and Yoav Goldberg (2014). Neural Word Embedding as Implicit Matrix Factorization.
https://papers.nips.cc/paper/5477-neu...