Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths

AACL/IJCNLP, pp. 248-257, 2020.

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Abstract:

Commonsense explanation generation aims to empower the machine's sense-making capability by generating plausible explanations to statements against commonsense. While this task is easy to human, the machine still struggles to generate reasonable and informative explanations. In this work, we propose a method that first extracts the unde...More

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