2000 character limit reached
A Survey of Neural Network Techniques for Feature Extraction from Text (1704.08531v1)
Published 27 Apr 2017 in cs.CL
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.
Collections
Sign up for free to add this paper to one or more collections.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
