Self-supervised Relation Extraction from the Web

  title={Self-supervised Relation Extraction from the Web},
  author={Ronen Feldman and Binyamin Rosenfeld and Stephen Soderland and Oren Etzioni},
Web extraction systems attempt to use the immense amount of unlabeled text in the Web in order to create large lists of entities and relations. Unlike traditional Information Extraction methods, the Web extraction systems do not label every mention of the target entity or relation, instead focusing on extracting as many different instances as possible while keeping the precision of the resulting list reasonably high. SRES is a self-supervised Web relation extraction system that learns powerful… CONTINUE READING
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