7 Applications of Deep Learning for Natural Language Processing

Last Updated on August 7, 2019

The field of natural language processing is shifting from statistical methods to neural network methods.

There are still many challenging problems to solve in natural language. Nevertheless, deep learning methods are achieving state-of-the-art results on some specific language problems.

It is not just the performance of deep learning models on benchmark problems that is most interesting; it is the fact that a single model can learn word meaning and perform language tasks, obviating the need for a pipeline of specialized and hand-crafted methods.

In this post, you will discover 7 interesting natural language processing tasks where deep learning methods are achieving some headway.

Kick-start your project with my new book Deep Learning for Natural Language Processing, including step-by-step tutorials and the Python source code files for all examples.

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7 Applications of Deep Learning for Natural Language Processing

7 Applications of Deep Learning for Natural Language Processing
Photo by Tim Gorman, some rights reserved.

Overview

In this post, we will look at the following 7 natural language
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