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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 2. Finding Parts of Text FREE CHAPTER 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

Finding Sentences

Partitioning text into sentences is also called sentence boundary disambiguation (SBD). This process is useful for many downstream NLP tasks that require analysis within sentences; for example, POS and phrase analysis typically work within a sentence.

In this chapter, we will explain why SBD is difficult. Then, we will examine some core Java approaches that may work in some situations, and move on to the use of models by various NLP APIs. We will also examine training and validating approaches for sentence-detection models. We can add additional rules to refine the process further, but this will work only up to a certain point. After that, models must be trained to handle both common and specialized situations. The latter part of this chapter focuses on these models and their use.

We will cover the following topics in this chapter:

  • The SBD process
  • What makes...
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