Enriching Large-Scale Eventuality Knowledge Graph with Entailment Relations [article]

Changlong Yu, Hongming Zhang, Yangqiu Song, Wilfred Ng, Lifeng Shang
2020 arXiv   pre-print
Computational and cognitive studies suggest that the abstraction of eventualities (activities, states, and events) is crucial for humans to understand daily eventualities. In this paper, we propose a scalable approach to model the entailment relations between eventualities ("eat an apple" entails "eat fruit"). As a result, we construct a large-scale eventuality entailment graph (EEG), which has 10 million eventuality nodes and 103 million entailment edges. Detailed experiments and analysis
more » ... strate the effectiveness of the proposed approach and quality of the resulting knowledge graph. Our datasets and code are available at https://github.com/HKUST-KnowComp/ASER-EEG.
arXiv:2006.11824v1 fatcat:2bgl2kjiejb2ldzljfr6ui4si4