Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering
Table 6: Quantitative Analysis on the Generated Paths for the Task Testset.
['Dataset', 'Connection', 'Valid Entity', 'Valid Relation', 'Score', 'Novelty']
Firstly, our generator has no trouble in connecting the given entity-pair with the valid paths which follow strictly the schema of ConceptNet. For example, our generator only uses the relations in the relation set as the connection instead of some random phrases. Meanwhile, the paths are of high quality since any knowledge fact with a score over 0.5 is classified as positive by Bilinear AVG, which is indeed the case on both datasets. Finally, the paths are also highly novel (over 70%) which indicates their helpfulness in complementing a static KG.