Graph Learning and Network Science for Natural Language Processing is popular PDF and ePub book, written by Muskan Garg in 2022-12-28, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Graph Learning and Network Science for Natural Language Processing can be Read Online from any device for your convenience.

Graph Learning and Network Science for Natural Language Processing Book PDF Summary

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

Detail Book of Graph Learning and Network Science for Natural Language Processing PDF

Graph Learning and Network Science for Natural Language Processing
  • Author : Muskan Garg
  • Release : 28 December 2022
  • Publisher : CRC Press
  • ISBN : 9781000789300
  • Genre : Business & Economics
  • Total Page : 272 pages
  • Language : English
  • PDF File Size : 14,5 Mb

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