Graph Neural Networks for Natural Language Processing: A Survey

by Kai Shen, Lingfei Wu Wu, Yu Chen

Deep learning has become the dominant approach in addressing various tasks in Natural Language Processing (NLP). Although text inputs are typically represented as a sequence of tokens, there is a rich variety of NLP problems that can be best expressed with a graph structure. As a result, there is a surge of interest in developing new deep learning techniques on graphs for a large number of NLP tasks. In this monograph, the authors present a comprehensive...

• Format: Paperback
• Language: English
• ISBN: 1638281424
• ISBN13: 9781638281429
• Release Date: January 2023
• Publisher: Now Publishers
• Length: 224 Pages
• Weight: 0.71 lbs.
• Dimensions: 0.5" x 6.1" x 9.2"