An Enhanced Knowledge Injection Model for Commonsense Generation

Zhihao Fan
Zhihao Fan
Siyuan Wang
Siyuan Wang
Yameng Huang
Yameng Huang
Jian Jiao
Jian Jiao
Ruofei Zhang
Ruofei Zhang

COLING, pp. 2014-2025, 2020.

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Other Links: arxiv.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

Commonsense generation aims at generating plausible everyday scenario description based on a set of provided concepts. Digging the relationship of concepts from scratch is non-trivial, therefore, we retrieve prototypes from external knowledge to assist the understanding of the scenario for better description generation. We integrate two...More

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