Graph Learning and Network Science for Natural Language Processing

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

DOI: 10.1201/9781003272649-11

CONTENTS

11.1 Introduction

11.1.1 Natural Language Processing

11.1.2 Tools and Libraries for NLP

11.1.3 Graph of Words and Graph -based Natural Language Generation

11.4 Graph Embedding in NLP

11.4.1 Node Embeddings

11.4.1.1 Matrix Factorization Methods

11.4.1.2 Graph Neural Network Methods

11.4.1.3 Random Walk (RW) Methods

11.4.1.4 Applications of Node Embedding

11.4.2 Relation Embedding

11.4.2.1 Knowledge-based Relation Embedding

11.4.2.2 Unsupervised Relation Embedding

11.4.2.3 Applications of Relation Embedding

11.5 Graph Topologies for NLP ...