Department of Mathematics and Statistics, Binghamton University

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 +<WRAP centeralign>##Statistics Seminar##\\ Department of Mathematical Sciences</WRAP>
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 +^  **DATE:**|Thursday, September 14, 2017 |
 +^  **TIME:**|1:15pm -- 2:15pm |
 +^  **LOCATION:**|WH 100E |
 +^  **SPEAKER:**|Wenbo Wang, Binghamton University |
 +^  **TITLE:**|Vector representation of words from very large data sets  |
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 +<WRAP centeralign>**Abstract**</WRAP>
 +Tomas Mikolov et al. proposed two novel model architectures for computing continuous vector representation of words from very large data sets. Recent years, it has become a very hot field in the industry known as 'word2vec'. In this talk we will go over the two models (Skip-gram Model and Continuous Bag-of-Words Model) and some tricks used to implement them.
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