Graph Learning and Network Science for Natural Language Processing

2 Application of NLP Using Graph Approaches

Narendra Singh Yadav, Siddharth Jain, Archit Gupta, and Devansh Srivastava

DOI: 10.1201/9781003272649-2

CONTENTS

2.1 Introduction

2.1.1 What Is a Graph?

2.2 Graph Embeddings

2.3 Dynamic Graph of Words

2.4 Cross-lingual and Multilingual Graphical Approaches

2.5 Topological Analysis of Graphs

2.6 Adversarial Networks for Natural Language Processing

2.7 Heterogeneous Information Networks for Textual Information

2.8 Summary of Ontology and Knowledge Graphs

2.9 Topic Identification

2.10 Major Processes of NLP Using Graphical Approaches and Their Applications in the Real World

2.10.1 Summarization

2.10.1.1 News

2.10.1.2 Assignments and E-learning

2.10.1.3 Summarization of Financial or Legal Documents