Sequence Tagging with Tensorflow
I remember the first time I heard about the magic of Deep Learning for Natural Language Processing (NLP). I was just starting a project with a young French startup Riminder and it was the first time I heard about word embeddings. There are moments in life when the confrontation with a new theory seems to make everything else irrelevant.
Hearing about word vectors that encode similarity and meaning between words was one of these moments. I was baffled by the simplicity of the model as I started to play with these new concepts, building my first recurrent neural network for sentiment analysis. A few months later, as part of the master thesis of my master in the French university Ecole polytechnique I was working on more advanced models for sequence tagging at Proxem.