Computational intelligence techniques graph learning and network science for natural language processing
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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.
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 approachesThis book is aimed at researchers and graduate students in computer science, natural language processing, and deep and machine learning.
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Taal: en
Bindwijze: Hardcover
Oorspronkelijke releasedatum: 28 december 2022
Aantal pagina's: 256
Hoofdredacteur: Muskan Garg
Hoofduitgeverij: Crc Press
Product breedte: 152 mm
Product lengte: 229 mm
Studieboek: Ja
Verpakking breedte: 152 mm
Verpakking hoogte: 229 mm
Verpakking lengte: 229 mm
Verpakkingsgewicht: 503 g
EAN: 9781032224565