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.
Original language | English |
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Title of host publication | 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 |
Number of pages | 9 |
ISBN (Print) | 9781617382581 |
DOIs | |
State | Published - 2009 |
Event | 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 - Suntec, Singapore Duration: 2 Aug 2009 → 7 Aug 2009 |
Publication series
Name | 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. |
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Conference
Conference | 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 |
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Country/Territory | Singapore |
City | Suntec |
Period | 2/08/09 → 7/08/09 |
Bibliographical note
Funding Information:This research has been conducted partly by the support of the Digital Museum Project in the Ministry of Education, Sports, Science and Technology, Japan. We would like to thank the Gion-matsuri Fune-hoko Preservation Society, a generous collaborator of this project.