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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
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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

Relationship types


There are many possible relationship types. A few categories and examples of relationships are found in the following table. An interesting site that contains a multitude of relationships is Freebase (https://www.freebase.com/). It is a database of people, places, and things organized by categories. The WordNet thesaurus (http://wordnet.princeton.edu/) contains a number of relationships:

Relationship

Example

Personal

father-of, sister-of, girlfriend-of

Organizational

subsidiary-of, subcommittee-of

Spatial

near-to, northeast-of, under

Physical

part-of, composed-of

Interactions

bonds-with, associates-with, reacts-with

 

Named Entity Recognition (NER) is a low-level type of NLP classification that was covered in Chapter 4, Finding People and Things. However, many applications need to go beyond this and identify different types of relationships. For example, when NER is applied to identify individuals, then knowing that we are dealing with a person can further refine the relationships that...

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