Learning Word Vectors for 157 Languages

LREC 2018 Edouard GravePiotr BojanowskiPrakhar GuptaArmand JoulinTomas Mikolov

Distributed word representations, or word vectors, have recently been applied to many tasks in natural language processing, leading to state-of-the-art performance. A key ingredient to the successful application of these representations is to train them on very large corpora, and use these pre-trained models in downstream tasks... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.