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Extracting Commonsense Knowledge Using Concepts Properties
Abstract
Commonsense knowledge encompasses facts that people know but do not communicate most of the time. For example, one needs water and soap to take a shower is commonsense. This chapter presents a semantically grounded method for extracting commonsense knowledge. First, commonsense rules are identified, e.g., one cannot see imaginary objects. Second, those rules are combined with a basic semantic representation in order to infer commonsense facts, e.g. one cannot see a flying carpet. Further combinations of semantic relations with inferred commonsense facts are proposed and analyzed. Experimental results show that this novel method is able to extract thousands of commonsense facts with little human interaction and high accuracy.
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