Preliminary Results on Different Text Processing Tasks Using Encoder-Decoder Networks and the Causal Feature Extractor

Preliminary Results on Different Text Processing Tasks Using Encoder-Decoder Networks and the Causal Feature Extractor

Deep learning methods are gaining popularity in different application domains, and especially in natural language processing. It is commonly believed that using a large enough dataset and an adequate network architecture, almost any processing problem can be solved. A frequent and widely used typolo...

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Bibliographic Details
Main Authors: Adrián Javaloy, Ginés García-Mateos
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Applied Sciences
Subjects:
natural language processing
deep neural networks
causal encoder
bilingual translation
speech-to-text
LaTeX decompilation
Online Access:https://www.mdpi.com/2076-3417/10/17/5772

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https://www.mdpi.com/2076-3417/10/17/5772

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