Analogical Inference over a Common Sense Database

Thomas Lin, MIT Media Laboratory

This paper shows that by applying analogical inference techniques to a large natural language common sense database, we can generate new, plausible common sense facts. Two systems that do this are described. Being able to generate new facts in this manner allows quick augmentation of the common sense database.


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