TransOMCS: From Linguistic Graphs to Commonsense Knowledge

    IJCAI, pp. 4004-4010, 2020.

    Cited by: 2|Bibtex|Views13|Links
    EI

    Abstract:

    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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