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A Survey of Neural Network Techniques for Feature Extraction from Text

Published 27 Apr 2017 in cs.CL | (1704.08531v1)

Abstract: This paper aims to catalyze the discussions about text feature extraction techniques using neural network architectures. The research questions discussed in the paper focus on the state-of-the-art neural network techniques that have proven to be useful tools for language processing, language generation, text classification and other computational linguistics tasks.

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