Distributed Representations of Words and Phrases and their Composition

Paper Link Authors: Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, Jeffrey Dean Aim:
This Paper is second in the series by Mikolov et al. of Statistical Language Models Based on Neural Networks It is an extension to the proposed Skip-gram model in terms of quality and training speed. It also incorporates methods for Phrase representation and explores the interesting property of Skip-gram model.