Training
Efficient Estimation of Word Representations in Vector Space
Google·January 16, 2013
Tomas Mikolov, Kai Chen, Greg Corrado
View on arXivTL;DR
Introduces word2vec, learning word embeddings where semantic relationships become vector arithmetic.
Why it matters
Put embeddings at the heart of NLP and made "meaning as geometry" a practical, everyday tool.