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 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.
định dạng EPUB ● Trang 272 ● ISBN 9781000789508 ● Biên tập viên Muskan (Amity University Rajasthan, India) Garg & Amit Kumar (Amity University Rajasthan, India) Gupta ● Nhà xuất bản CRC Press ● Được phát hành 2022 ● Có thể tải xuống 3 lần ● Tiền tệ EUR ● TÔI 8717683 ● Sao chép bảo vệ Adobe DRM
Yêu cầu trình đọc ebook có khả năng DRM