The Stanford Natural Language Processing Group

Overview Deep learning has recently shown much promise for NLP applications. Traditionally, in most NLP approaches, documents or sentences are represented by a sparse bag-of-words representation. There is now a lot of work, including at Stanford, which goes beyond this by adopting a distributed representation of words, by constructing a so-called "neural embedding" or vector space representation o

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The Stanford NLP (Natural Language Processing) Group