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Natural Language Processing with Java

You're reading from   Natural Language Processing with Java Techniques for building machine learning and neural network models for NLP

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Product type Paperback
Published in Jul 2018
Publisher
ISBN-13 9781788993494
Length 318 pages
Edition 2nd Edition
Languages
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Authors (2):
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Ashish Bhatia Ashish Bhatia
Author Profile Icon Ashish Bhatia
Ashish Bhatia
Richard M. Reese Richard M. Reese
Author Profile Icon Richard M. Reese
Richard M. Reese
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Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction to NLP FREE CHAPTER 2. Finding Parts of Text 3. Finding Sentences 4. Finding People and Things 5. Detecting Part of Speech 6. Representing Text with Features 7. Information Retrieval 8. Classifying Texts and Documents 9. Topic Modeling 10. Using Parsers to Extract Relationships 11. Combined Pipeline 12. Creating a Chatbot 13. Other Books You May Enjoy

Using multiple cores with the Stanford pipeline


The annotate method can also take advantage of multiple cores. It is an overloaded method where one version uses an instance of an Iterable<Annotation> as its parameter. It will process each Annotation instance using the processors available. We will use the previously defined pipeline object to demonstrate this version of the annotate method. First, we create four Annotation objects based on four short sentences, as shown here. To take full advantage of the technique, it would be better to use a larger set of data. The following is the working code snippet:

Annotation annotation1 = new Annotation("The robber took the cash and ran.");
Annotation annotation2 = new Annotation("The policeman chased him down the street.");
Annotation annotation3 = new Annotation("A passerby, watching the action, tripped the thief "
            + "as he passed by.");
Annotation annotation4 = new Annotation("They all lived happily ever after, except for the...
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