QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering

Benchmark Model Rank Results
riddle-sense-on-riddle-senseQAGNN#2Accuracy (%): 67
question-answering-on-openbookqaAristoRoBERTa + QA-GNN#7Accuracy: 82.8
question-answering-on-openbookqaQA-GNN#8Accuracy: 82.8
question-answering-on-openbookqaAristoRoBERTa#11Accuracy: 77.8
common-sense-reasoning-on-commonsenseqaQA-GNN#13Accuracy: 76.1