Document Structure aware Relational Graph Convolutional Networks for Ontology Population

Abhay M Shalghar, Ayush Kumar, Balaji Ganesan, Aswin Kannan, Akshay Parekh, Shobha G

Keywords: Graph Neural Networks, Relation Extraction, Document Structure

TL;DR: Using document structure to improve ontological relation extraction

Abstract: Ontologies comprising of concepts, their attributes, and relationships are used in many knowledge based AI systems. While there have been efforts towards populating domain specific ontologies, we examine the role of document structure in learning ontological relationships between concepts in any document corpus. Inspired by ideas from hypernym discovery and explainability, our method performs about 15 points more accurate than a stand-alone R-GCN model for this task.