A Primer on Neural Network Models for Natural Language Processing

Volume: 57, Pages: 345 - 420
Published: Nov 20, 2016
Abstract
Over the past few years, neural networks have re-emerged as powerful machine-learning models, yielding state-of-the-art results in fields such as image recognition and speech processing. More recently, neural network models started to be applied also to textual natural language signals, again with very promising results. This tutorial surveys neural network models from the perspective of natural language processing research, in an attempt to...
Paper Details
Title
A Primer on Neural Network Models for Natural Language Processing
Published Date
Nov 20, 2016
Volume
57
Pages
345 - 420
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.