Learning to Extract Relations from the Web using Minimal Supervision

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.

• Type: Conference
• Year: 2007
• Where: ACL
• Authors: Razvan C. Bunescu, Raymond J. Mooney
• Keywords: ACL 2007, Computational Linguistics, Particular Relation, Relation Extraction, Relation Extraction Method