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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

Summary


We have discussed the parsing process and how it can be used to extract relationships from text. It can be used for a number of purposes, including grammar checking and machine translation of text. There are numerous possible text relations. These include such relationships as father of, near to, and under. They are concerned with how elements of text are related to each other.

Parsing the text will return relationships that exist within the text. These relationships can be used to extract information of interest. We demonstrated a number of techniques using the OpenNLP and Stanford APIs to parse text.

We also explained how the Stanford API can be used to find coreference resolutions within text. This occurs when two or more expressions, such as he or they, refer to the same person.

We concluded with an example of how a parser is used to extract relations from a sentence. These relations were used to extract information to answer simple who type queries about U.S. presidents.

In the...

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