ENGLISH

Graph Learning and Network Science for Natural Language Processing

By Amit Kumar Gupta , Muskan Garg , Rajesh Prasad

Book information

Publisher
CRC Press
Year
2022
ISBN
1032224568, 9781032224565
Language
english
Format
EPUB
Filesize
6 MB (6699650 bytes)
Series
Computational Intelligence Techniques
Pages
256\0
Time added
2022-11-14 22:17:20

Description

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 NLPCovers recent computational intelligence techniques for graph-based neural network modelsDiscusses advances in random walk-based techniques, semantic webs, and lexical networksExplores recent research into NLP for graph-based streaming dataReviews 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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