Graph Learning and Network Science for Natural Language Processing
eBook - ePub

Graph Learning and Network Science for Natural Language Processing

  1. 256 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Graph Learning and Network Science for Natural Language Processing

About this book

Advances in graph-based natural language processing (NLP) and information retrieval tasks have shown the importance of processing using the Graph of Words method. This book covers recent concrete information, from the basics to advanced level, about graph-based learning, such as neural network-based approaches, computational intelligence for learning parameters and feature reduction, and network science for graph-based NPL. It also contains information about language generation based on graphical theories and language models.

Features:

  • Presents a comprehensive study of the interdisciplinary graphical approach to NLP
  • Covers recent computational intelligence techniques for graph-based neural network models
  • Discusses advances in random walk-based techniques, semantic webs, and lexical networks
  • Explores recent research into NLP for graph-based streaming data
  • Reviews advances in knowledge graph embedding and ontologies for NLP approaches

This book is aimed at researchers and graduate students in computer science, natural language processing, and deep and machine learning.

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Information

Publisher
CRC Press
Year
2022
Print ISBN
9781032224565
eBook ISBN
9781000789508
Topic
Economics
Subtopic
Computer Science General
Index
Economics

Table of contents

  1. Cover
  2. Half-Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. Editors
  8. Contributors
  9. Preface
  10. Chapter 1 Graph of Words Model for Natural Language Processing
  11. Chapter 2 Application of NLP Using Graph Approaches
  12. Chapter 3 Graph-based Extractive Approach for English and Hindi Text Summarization
  13. Chapter 4 Graph Embeddings for Natural Language Processing
  14. Chapter 5 Natural Language Processing with Graph and Machine Learning Algorithms-based Large-scale Text Document Summarization and Its Applications
  15. Chapter 6 Ontology and Knowledge Graphs for Semantic Analysis in Natural Language Processing
  16. Chapter 7 Ontology and Knowledge Graphs for Natural Language Processing
  17. Chapter 8 Perfect Coloring by HB Color Matrix Algorithm Method
  18. Chapter 9 Cross-lingual Word Sense Disambiguation Using Multilingual Co-occurrence Graphs
  19. Chapter 10 Study of Current Learning Techniques for Natural Language Processing for Early Detection of Lung Cancer
  20. Chapter 11 A Critical Analysis of Graph Topologies for Natural Language Processing and Their Applications
  21. Chapter 12 Graph-based Text Document Extractive Summarization
  22. Chapter 13 Applications of Graphical Natural Language Processing
  23. Chapter 14 Analysis of Medical Images Using Machine Learning Techniques
  24. Index

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Yes, you can access Graph Learning and Network Science for Natural Language Processing by Muskan Garg, Amit Kumar Gupta, Rajesh Prasad, Muskan Garg,Amit Kumar Gupta,Rajesh Prasad in PDF and/or ePUB format, as well as other popular books in Economics & Computer Science General. We have over one million books available in our catalogue for you to explore.