Word Embeddings from Large-Scale Greek Web Content

Stamatis Outsios, Konstantinos Skianis, Polykarpos Meladianos +2

Word embeddings are undoubtedly very useful components in many NLP tasks. In this paper, we present word embeddings and other linguistic resources trained on the largest to date di…