Learning to Extract Relations from the Web using Minimal Supervision
R. Bunescu, and R. Mooney. Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, page 576--583. Prague, Czech Republic, Association for Computational Linguistics, (June 2007)
Abstract
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.
%0 Conference Paper
%1 Bunescu:Mooney:07
%A Bunescu, Razvan
%A Mooney, Raymond
%B Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics
%C Prague, Czech Republic
%D 2007
%I Association for Computational Linguistics
%K 2007 acl relations web
%P 576--583
%T Learning to Extract Relations from the Web using Minimal Supervision
%U http://acl.ldc.upenn.edu/P/P07/P07-1073.pdf
%X 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.
@inproceedings{Bunescu:Mooney:07,
abstract = {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.},
added-at = {2007-07-09T16:56:29.000+0200},
address = {Prague, Czech Republic},
author = {Bunescu, Razvan and Mooney, Raymond},
biburl = {https://www.bibsonomy.org/bibtex/24c7823e00ba8574d89d8df1ea2be3f9d/seandalai},
booktitle = {Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics},
interhash = {f53ec7b87bb8a7f8673716c17298a14a},
intrahash = {4c7823e00ba8574d89d8df1ea2be3f9d},
keywords = {2007 acl relations web},
month = {June},
pages = {576--583},
publisher = {Association for Computational Linguistics},
timestamp = {2007-07-09T16:56:29.000+0200},
title = {Learning to Extract Relations from the Web using Minimal Supervision},
url = {http://acl.ldc.upenn.edu/P/P07/P07-1073.pdf},
year = 2007
}