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

June 23, 2022, 1:11 a.m. | Yu Jin Kim, Beong-woo Kwak, Youngwook Kim, Reinald Kim Amplayo, Seung-won Hwang, Jinyoung Yeo

cs.LG updates on arXiv.org arxiv.org

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

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