EAGER: Explainable question answering using knowledge graphs

Andrew Chai, Alireza Vezvaei, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat
January 2023

Abstract

This paper presents EAGER, an explainable question answering system using knowledge graphs, improving transparency and interpretability in QA systems.

Type
Conference paper
Publication
Proceedings of the 6th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)

This work introduces explainable question answering using knowledge graphs.

Explainable AI Question Answering Knowledge Graphs Interpretability Graph Data Management
Morteza Zihayat
Morteza Zihayat
Principal Investigator

Dr. Morteza Zihayat is an Assistant Professor in the School of Information Technology Management at Toronto Metropolitan University and the Director of the Human-Centered Machine Intelligence Lab.