Rémi Philippe Lebret, Ronan Collobert, Joël Yvon Roland Legrand
Word embeddings resulting from neural language models have been shown to be successful for a large variety of NLP tasks. However, such architecture might be difficult to train and time-consuming. Instead, we propose to drastically sim- plify the word embed ...
Idiap2013
