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Large-scale extraction and use of knowledge from text
2009
Proceedings of the fifth international conference on Knowledge capture - K-CAP '09
Many AI tasks, in particular natural language processing, require a large amount of world knowledge to create expectations, assess plausibility, and guide disambiguation. However, acquiring this world knowledge remains a formidable challenge. Building on ideas by Schubert, we have developed a system called DART (Discovery and Aggregation of Relations in Text) that extracts simple, semi-formal statements of world knowledge (e.g., "airplanes can fly", "people can drive cars") from text by
doi:10.1145/1597735.1597763
dblp:conf/kcap/ClarkH09
fatcat:np3jqqwwufdanor35f4iwdwccy