@inproceedings{9198bb56a9d1449bb073caab63858901,
title = "Extracting lexical reference rules from Wikipedia",
abstract = "This paper describes the extraction from Wikipedia of lexical reference rules, identifying references to term meanings triggered by other terms. We present extraction methods geared to cover the broad range of the lexical reference relation and analyze them extensively. Most extraction methods yield high precision levels, and our rule-base is shown to perform better than other automatically constructed baselines in a couple of lexical expansion and matching tasks. Our rule-base yields comparable performance to Word-Net while providing largely complementary information.",
author = "Eyal Shnarch and Libby Barak and Ido Dagan",
year = "2009",
doi = "10.3115/1687878.1687942",
language = "English",
isbn = "9781617382581",
series = "ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.",
publisher = "Association for Computational Linguistics (ACL)",
pages = "450--458",
booktitle = "ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.",
address = "United States",
note = "Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009 ; Conference date: 02-08-2009 Through 07-08-2009",
}