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Despite the success of distributional semantics , composing phrases from word vectors remains an important challenge. Several methods have been tried for benchmark tasks such as sentiment classification , including word vector averaging , matrix-vector approaches based on parsing, and on-the-fly learning of paragraph vectors. Most models usually omit stop(More)
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