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Python Natural Language Processing

You're reading from  Python Natural Language Processing

Product type Book
Published in Jul 2017
Publisher Packt
ISBN-13 9781787121423
Pages 486 pages
Edition 1st Edition
Languages
Toc

Table of Contents (13) Chapters close

Preface 1. Introduction 2. Practical Understanding of a Corpus and Dataset 3. Understanding the Structure of a Sentences 4. Preprocessing 5. Feature Engineering and NLP Algorithms 6. Advanced Feature Engineering and NLP Algorithms 7. Rule-Based System for NLP 8. Machine Learning for NLP Problems 9. Deep Learning for NLU and NLG Problems 10. Advanced Tools 11. How to Improve Your NLP Skills 12. Installation Guide

Discourse integration

Discourse integration is closely related to pragmatics. Discourse integration is considered as the larger context for any smaller part of NL structure. NL is so complex and, most of the time, sequences of text are dependent on prior discourse.

This concept occurs often in pragmatic ambiguity. This analysis deals with how the immediately preceding sentence can affect the meaning and interpretation of the next sentence. Here, context can be analyzed in a bigger context, such as paragraph level, document level, and so on.

Applications

Concepts of discourse integration have been used by following NLP applications:

  • This concept often used in NLG applications.
  • Chatbots, which are developed to deliver generalized...
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