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after embed each word in the sentence, this word representations are then averaged into a text representation, which is in turn fed to a linear classifier.it use softmax function to compute the probability distribution over the predefined classes. then cross entropy is used to compute loss. bag...
consider word order. in order to take account of word order, n-gram features is used to capture some partial information about the local word order; when the number of classes is large, computing the linear classifier is computational expensive. so it usehierarchical softmax to speed training ...
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