Machine Reading with Word Vectors (ft. Martin Jaggi)
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-neural-word-embedding-as-implicit-matrix-factorization.pdf
Видео Machine Reading with Word Vectors (ft. Martin Jaggi) канала ZettaBytes, 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-neural-word-embedding-as-implicit-matrix-factorization.pdf
Видео Machine Reading with Word Vectors (ft. Martin Jaggi) канала ZettaBytes, EPFL
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