Papers with ACP-based models

1 papers
I Know What You Asked: Graph Path Learning using AMR for Commonsense Reasoning (2020.coling-main)

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Challenge: a large amount of pre-defined commonsense knowledge is available for commonsensense reasoning . humans acquire commonsence in their lives, but machines cannot learn commonseense without assistance.
Approach: They propose an AMR-ConceptNet-Pruned (ACP) graph that is pruned from a full integrated graph . they show that the ACP graph interprets the reasoning path and predicts the correct answer .
Outcome: The proposed graph outperforms baseline models in the commonsenseQA task . it shows that the reasoning path can be interpreted with the relations and concepts provided by the graph .

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