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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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Table of Contents (19) Chapters Close

Title Page
Dedication
Packt Upsell
Contributors
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 1. Other Books You May Enjoy Index

Understanding parse trees


Parse trees represent hierarchical relationships between elements of text. For example, a dependency tree shows the relationship between the grammatical elements of a sentence. Let's reconsider the following sentence:

The cow jumped over the moon. 

A parse tree for the preceding sentence is shown here. It was generated using the techniques that will be found in the Using the LexicalizedParser class section later in this chapter:

    (ROOT
      (S
        (NP (DT The) (NN cow))
        (VP (VBD jumped)
          (PP (IN over)
            (NP (DT the) (NN moon))))
        (. .)))
  

This sentence can be graphically depicted, as shown in the following diagram. It was generated using the application found at http://nlpviz.bpodgursky.com/. Another editor that allows you to examine text in a graphical manner is GrammarScope (http://grammarscope.sourceforge.net/). This is a Stanford supported tool that uses a Swing-based GUI to generate a parse tree, a grammatical structure...

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