Difference between revisions of "Hoffmann et al., ACL 2010"
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== Summary == | == Summary == | ||
| − | This is a [[Category::paper]] introducing LUCHS, a self-supervised relations-specific IE system | + | This is a [[Category::paper]] introducing LUCHS, a self-supervised relations-specific IE system capable of learning more than 5000 relations with an average F1 score of 61%. The system applies ''dynamic lexicon features learning'' is applied as a semi-supervise learning solution cope with sparse training data. |
| + | === System Architecture === | ||
[[File:LUCHSArchitecture.png|450px]] | [[File:LUCHSArchitecture.png|450px]] | ||
Revision as of 12:10, 30 September 2011
Contents
Citation
Raphael Hoffmann, Congle Zhang, and Daniel S. Weld. 2010. Learning 5000 relational extractors. In ACL '10 (Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics)
Online version
Summary
This is a paper introducing LUCHS, a self-supervised relations-specific IE system capable of learning more than 5000 relations with an average F1 score of 61%. The system applies dynamic lexicon features learning is applied as a semi-supervise learning solution cope with sparse training data.
System Architecture
