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 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.
Table of Contents
Chapter 1. Graph of Words Model for Natural Language Processing
Sharayu Mirasdar and Mangesh Bedekar
Chapter 2. Application of NLP Using Graph Approaches
Narendra Singh Yadav, Siddharth Jain, Archit Gupta, and Devansh Srivastava
Chapter 3. Graph-based Extractive Approach for English and Hindi Text Summarization
Rekha Jain, Manisha Sharma, Pratistha Mathur, and Surabhi Bhatia
Chapter 4 Graph Embeddings for Natural Language Processing
Jyoti Gavhane, Rajesh Prasad, and Rajeev Kumar
Chapter 5 Natural Language Processing with Graph and Machine Learning Algorithms-based Large-scale Text Document Summarization and Its Applications.
Shaikh Ashfaq Amir, Pathan Mohd. Shafi, Dr Vinod. V. Kimbahune, and Vijaykumar S. Bidve
Chapter 6 Ontology and Knowledge Graphs for Semantic Analysis in Natural Language Processing
Ujwala Bharambe, Chhaya Narvekar, and Prakash Andugula
Chapter 7 Ontology and Knowledge Graphs for Natural Language Processing
Jayashree Prasad, Rahesha Mulla, Namrata Naikwade, B. Suresh Kumar, and Suresh Shanmugasundaram
Chapter 8 Perfect Coloring by HB Color Matrix Algorithm Method
A. A. Bhange and H. R. Bhapkar
Chapter 9 Cross-lingual Word Sense Disambiguation Using Multilingual Co-occurrence Graphs
Neha Janu, Anjali Singh, , Meenakshi Nawal, Sunita Gupta, Tapesh Kumar, and Vijendra Singh
Chapter 10 Study of Current Learning Techniques for Natural Language Processing for Early Detection of Lung Cancer
Vanita D. Jadhav and Lalit V. Patil
Chapter 11 A Critical Analysis of Graph Topologies for Natural Language Processing and Their Applications
Meenakshi Nawal, Sunita Gupta, Neha Janu, and Carlos M. Travieso-Gonzalez
Chapter 12 Graph-based Text Document Extractive Summarization
Sheetal Sonawane
Chapter 13 Applications of Graphical Natural Language Processing
T.Nalini, S.V. Gayetri Devi, and K.G.S. Venkatesan
Chapter 14 Analysis of Medical Images Using Machine Learning Techniques
Nikita Jain, Mahesh Kumar Joshi, Vishal Jain, and Reena Sharma
