Filtering Information Extraction via User-Contributed Knowledge

@inproceedings{Lin2009FilteringIE,
  title={Filtering Information Extraction via User-Contributed Knowledge},
  author={Thomas Lin and Oren Etzioni and James Fogarty},
  year={2009}
}
Large repositories of knowledge can enable more powerful AI systems. Information Extraction (IE) is one approach to building knowledge repositories by extracting knowledge from text. Open IE systems like TextRunner [Banko et al., 2007] are able to extract hundreds of millions of assertions from Web text. However, because of imperfections in extraction technology and the noisy nature of Web text, IE systems return a mix of both useful, informative facts (e.g., "the FDA banned ephedra") and less… CONTINUE READING

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