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A Survey of Neural Network Techniques for Feature Extraction from Text

Computation and Language 2017-04-28 v1

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.

Keywords

Cite

@article{arxiv.1704.08531,
  title  = {A Survey of Neural Network Techniques for Feature Extraction from Text},
  author = {Vineet John},
  journal= {arXiv preprint arXiv:1704.08531},
  year   = {2017}
}

Comments

9 pages, 2 figures