Publication
ICLR 2022
Workshop paper

Document Structure aware Relational Graph Convolutional Networks for Ontology Population

View publication

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.

Date

25 Apr 2022

Publication

ICLR 2022

Authors

Tags

Resources

Share