We present a new approach to relation extraction that requires only a handful of training examples. Given a few pairs of named entities known to exhibit or not exhibit a particular relation, bags of sentences containing the pairs are extracted from the web. We extend an existing relation extraction method to handle this weaker form of supervision, and present experimental results demonstrating that our approach can reliably extract relations from web documents.

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In Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL'07), Prague, Czech Republic, June 2007.

@inproceedings{bunescu:acl07, title={Learning to Extract Relations from the Web using Minimal Supervision}, author={Razvan C. Bunescu and Raymond J. Mooney}, booktitle={Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL'07)}, month={June}, address={Prague, Czech Republic}, url="http://www.cs.utexas.edu/users/ai-lab?bunescu:acl07", year={2007} }