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- W3048585918 abstract "Commonsense knowledge graph reasoning(CKGR) is the task of predicting a missing entity given one existing and the relation in a commonsense knowledge graph (CKG). Existing methods can be classified into two categories generation method and selection method. Each method has its own advantage. We theoretically and empirically compare the two methods, finding the selection method is more suitable than the generation method in CKGR. Given the observation, we further combine the structure of neural Text Encoder and Knowledge Graph Embedding models to solve the selection method's two problems, achieving competitive results. We provide a basic framework and baseline model for subsequent CKGR tasks by selection methods." @default.
- W3048585918 created "2020-08-18" @default.
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- W3048585918 date "2020-08-13" @default.
- W3048585918 modified "2023-09-23" @default.
- W3048585918 title "Commonsense Knowledge Graph Reasoning by Selection or Generation? Why?" @default.
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- W3048585918 doi "https://doi.org/10.48550/arxiv.2008.05925" @default.
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