To help researchers investigate relation extraction, we’re releasing a human-judged dataset of two relations about public figures on Wikipedia: nearly 10,000 examples of “place of birth”, and over 40,000 examples of “attended or graduated from an institution”. Each of these was judged by at least 5 raters, and can be used to train or evaluate relation extraction systems. We also plan to release more relations of new types in the coming months.
MALLET is an integrated collection of Java code useful for statistical natural language processing, document classification, clustering, information extraction, and other machine learning applications to text.
Neil Ireson, Fabio Ciravegna, Marie Elaine Califf, Dayne Freitag, Nicholas Kushmerick, Alberto Lavelli: Evaluating Machine Learning for Information Extraction, 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, 7-11 August, 2005
B. Powley, и R. Dale. Large Scale Semantic Access to Content (Text, Image, Video, and Sound), стр. 618--632. Paris, France, France, LE CENTRE DE HAUTES ETUDES INTERNATIONALES D'INFORMATIQUE DOCUMENTAIRE, (2007)
G. Sautter, и K. Böhm. Proceedings of the Second International Conference on Theory and Practice of Digital Libraries, стр. 370--382. Berlin/Heidelberg, Springer, (2012)
J. Strötgen, и M. Gertz. Proceedings of the 5th International Workshop on Semantic Evaluation, стр. 321--324. Stroudsburg, PA, USA, Association for Computational Linguistics, (2010)
O. Gunes, C. Schallhart, T. Furche, J. Lehmann, и A. Ngomo. Proceedings of the 3rd Workshop on the People's Web Meets NLP: Collaboratively Constructed Semantic Resources and their Applications to NLP, стр. 29--33. Association for Computational Linguistics, (июля 2012)
J. Lafferty, A. McCallum, и F. Pereira. Proceedings of the Eighteenth International Conference on Machine Learning, стр. 282--289. San Francisco, CA, USA, Morgan Kaufmann Publishers Inc., (2001)
M. Granitzer, M. Hristakeva, R. Knight, K. Jack, и R. Kern. Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, стр. 19:1--19:8. New York, NY, USA, ACM, (2012)
Y. Li, A. Wen, Q. Lin, R. Li, и Z. Lu. Web-Age Information Management, том 6897 из Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (2011)