Extracting common sense knowledge via triple ranking using supervised and unsupervised distributional models

Abstract
In this paper we are concerned with developing information extraction models that support the extraction of common sense knowledge from a combination of unstructured and semi-structured datasets. Our motivation is to extract manipulation-relevant kno

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