• Computer Science
  • Published in ArXiv 2015

Extreme Extraction: Only One Hour per Relation

@article{Hoffmann2015ExtremeEO,
  title={Extreme Extraction: Only One Hour per Relation},
  author={Raphael Hoffmann and Luke Zettlemoyer and Daniel S. Weld},
  journal={ArXiv},
  year={2015},
  volume={abs/1506.06418}
}
Information Extraction (IE) aims to automatically generate a large knowledge base from natural language text, but progress remains slow. Supervised learning requires copious human annotation, while unsupervised and weakly supervised approaches do not deliver competitive accuracy. As a result, most fielded applications of IE, as well as the leading TAC-KBP systems, rely on significant amounts of manual engineering. Even "Extreme" methods, such as those reported in Freedman et al. 2011, require… CONTINUE READING
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