Planning English Sentences by Douglas E. Appelt, Cambridge University Press, Studies in Natural Language Processing Series, 1985, x + 171 pp. (£22. 50). - Text Generation by Kathleen R. McKeown, same publisher and series, 1985, x + 246 pp. (£22. 50).

Robotica ◽  
1986 ◽  
Vol 4 (3) ◽  
pp. 210-211
Author(s):  
A. M. Andrew
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Text Generation ◽  
Cambridge University

scholarly journals From Imitation to Prediction, Data Compression vs Recurrent Neural Networks for Natural Language Processing

2018 ◽  
Vol 21 (61) ◽  
pp. 30 ◽  
Author(s):  
Juan Andres Laura ◽  
Gabriel Omar Masi ◽  
Luis Argerich
Keyword(s):  
Neural Networks ◽  
Natural Language Processing ◽  
Natural Language ◽  
Data Compression ◽  
Language Processing ◽  
Recurrent Neural Networks ◽  
Compression Algorithm ◽  
Text Generation ◽  
Generative Processes ◽  
Automatic Text

In recent studies Recurrent Neural Networks were used for generative processes and their surprising performance can be explained by their ability to create good predictions. In addition, Data Compression is also based on prediction. What the problem comes down to is whether a data compressor could be used to perform as well as recurrent neural networks in the natural language processing tasks of sentiment analysis and automatic text generation. If this is possible, then the problem comes down to determining if a compression algorithm is even more intelligent than a neural network in such tasks. In our journey, a fundamental difference between a Data Compression Algorithm and Recurrent Neural Networks has been discovered.

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