• Corpus ID: 10318045

Identifying Relations for Open Information Extraction

@inproceedings{Fader2011IdentifyingRF,
  title={Identifying Relations for Open Information Extraction},
  author={Anthony Fader and Stephen Soderland and Oren Etzioni},
  booktitle={EMNLP},
  year={2011}
}
Open Information Extraction (IE) is the task of extracting assertions from massive corpora without requiring a pre-specified vocabulary. [] Key Method We implemented the constraints in the ReVerb Open IE system, which more than doubles the area under the precision-recall curve relative to previous extractors such as TextRunner and woepos. More than 30% of ReVerb's extractions are at precision 0.8 or higher---compared to virtually none for earlier systems. The paper concludes with a detailed analysis of…

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