Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense Reasoning. (arXiv:2206.03715v2 [cs.AI] UPDATED)

Web: http://arxiv.org/abs/2206.03715

Commonsense reasoning systems should be able to generalize to diverse
reasoning cases. However, most state-of-the-art approaches depend on expensive
data annotations and overfit to a specific benchmark without learning how to
perform general semantic reasoning. To overcome these drawbacks, zero-shot QA
systems have shown promise as a robust learning scheme by transforming a
commonsense knowledge graph (KG) into synthetic QA-form samples for model
training. Considering the increasing type of different commonsense KGs, this
paper aims to extend the zero-shot transfer …

ai arxiv graphs knowledge knowledge graphs learning reasoning transfer transfer learning