A Survey of Neural Network Techniques for Feature Extraction from Text

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.

9 pages, 2 figures

References in corpus (2)

• Enriching Word Vectors with Subword Information
• A Hierarchical Neural Autoencoder for Paragraphs and Documents

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