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Proceedings of the ACM Web Conference 2022
Machine knowledge about the world's entities should include quantity properties, such as heights of buildings, running times of athletes, energy efficiency of car models, energy production of power plants, and more. State-of-the-art knowledge bases (KBs), such as Wikidata, cover many relevant entities but often miss the corresponding quantities. Prior work on extracting quantity facts from web contents focused on high precision for top-ranked outputs, but did not tackle the KB coverage issue.doi:10.1145/3485447.3511932 fatcat:hkyzkbg32zb6po7467kbfw5a7y