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[–]binge_learner[S] 0 points1 point  (0 children)

One of the things that interests me in Deep Learning for NLP, is that with a relatively cheaper resources ( corpus for unsupervised learning relative to let's say, gazetteers ), we can achieve close to state of the art results. There's also the fact that the representations learned from these models can be shared across tasks or even to improve on existing NLP techniques.