Graph Learning and Network Science for Natural Language Processing

by Muskan Garg (editor), Amit Kumar Gupta (Editor), Rajesh Prasad (Editor)

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

272 pages, Hardcover

Published December 28, 2022