Deriving Generic Statements using Corpus Acquired Knowledge and WordNet
نویسندگان
چکیده
Existing work in the extraction of commonsense knowledge from text has been restricted to factoids that serve as statements about what may possibly obtain in the world. We present an approach to deriving stronger general claims from large sets of factoids. The idea is to coalesce the observed nominals for a given predicate argument into a few predominant types, obtained asWordNet synsets. The results can be construed as generically quantified sentences restricting the semantic type of an argument position of a predicate. This work was funded by NSF grants IIS-0328849 and IIS-0535105.
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تاریخ انتشار 2008