TransOMCS: From Linguistic Graphs to Commonsense Knowledge
IJCAI, pp. 4004-4010, 2020.
Commonsense knowledge acquisition is a key problem for artificial intelligence. Conventional methods of acquiring commonsense knowledge generally require laborious and costly human annotations, which are not feasible on a large scale. In this paper, we explore a practical way of mining commonsense knowledge from linguistic graphs, with ...More
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