Department of Mathematical Sciences
|DATE:||Thursday, September 14, 2017|
|TIME:||1:15pm – 2:15pm|
|SPEAKER:||Wenbo Wang, Binghamton University|
|TITLE:||Vector representation of words from very large data sets|
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.