Graph Learning and Network Science for Natural Language Processing (Computational Intelligence Techniques)

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Synopsis
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.
Copyright:
2023

Book Details

Book Quality:
Publisher Quality
Book Size:
256 Pages
ISBN-13:
9781000789508
Related ISBNs:
9781003272649, 9781032224572, 9781032224565
Publisher:
CRC Press
Date of Addition:
Copyrighted By:
selection and editorial matter, Muskan Garg, Amit Kumar Gupta and Rajesh Prasad
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet, Business and Finance, Technology, Mathematics and Statistics
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.
Edited by:
Muskan Garg
Edited by:
Amit Kumar Gupta
Edited by:
Rajesh Prasad

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