Graph Learning and Network Science for Natural Language Processing

By: Muskan Garg (Editor), Amit Kumar Gupta (Editor), Rajesh Prasad (Editor)

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Hardcover | 28 December 2022 | Edition Number 1

At a Glance

Hardcover
274 Pages

Dimensions(cm)
22.86 x 15.24 x 1.6

Hardcover

$498.99

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Advances in Graph based Natural Language Processing (NLP) and Information Retrieval (IR) tasks have shown the importance of processing Graph of Words. This book contains recent and concrete information from basics to advanced level about Graph based Learning like Neural network-based approaches, computational intelligence for learning parameters and feature reduction, and network science for graph based natural language processing. This contains information about language generation based on the graphical theories and language models.

Features:

-Presents comprehensive study for the interdisciplinary graphical approach for natural language processing (NLP)

-Covers recent computational intelligence techniques for graph based neural network models

-Discusses advances in Random Walk based techniques, Semantics Web and Lexical Networks

-Explores recent research over Natural Language Processing for Graph based streaming data

-Reviews advances in Knowledge Graph Embedding and Ontologies for NLP Approaches

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

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