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.
This is the project page for SecondString, an open-source Java-based package of approximate string-matching techniques. This code was developed by researchers at Carnegie Mellon University from the Center for Automated Learning and Discovery, the Department of Statistics, and the Center for Computer and Communications Security.
SecondString is intended primarily for researchers in information integration and other scientists. It does or will include a range of string-matching methods from a variety of communities, including statistics, artificial intelligence, information retrieval, and databases. It also includes tools for systematically evaluating performance on test data. It is not designed for use on very large data sets.
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, and R. Dale. Large Scale Semantic Access to Content (Text, Image, Video, and Sound), page 618--632. Paris, France, France, LE CENTRE DE HAUTES ETUDES INTERNATIONALES D'INFORMATIQUE DOCUMENTAIRE, (2007)
G. Sautter, and K. Böhm. Proceedings of the Second International Conference on Theory and Practice of Digital Libraries, page 370--382. Berlin/Heidelberg, Springer, (2012)
J. Strötgen, and M. Gertz. Proceedings of the 5th International Workshop on Semantic Evaluation, page 321--324. Stroudsburg, PA, USA, Association for Computational Linguistics, (2010)
J. Lafferty, A. McCallum, and F. Pereira. Proceedings of the Eighteenth International Conference on Machine Learning, page 282--289. San Francisco, CA, USA, Morgan Kaufmann Publishers Inc., (2001)
M. Granitzer, M. Hristakeva, R. Knight, K. Jack, and R. Kern. Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, page 19:1--19:8. New York, NY, USA, ACM, (2012)
Y. Li, A. Wen, Q. Lin, R. Li, and Z. Lu. Web-Age Information Management, volume 6897 of Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (2011)
X. Chai, B. Vuong, A. Doan, and J. Naughton. Proceedings of the 35th SIGMOD international conference on Management of data, page 87--100. New York, NY, USA, ACM, (2009)
J. Tang, M. Hong, J. Li, and B. Liang. International Semantic Web Conference, volume 4273 of Lecture Notes in Computer Science, page 640-653. Springer, (2006)
M. Kayed, and K. Shaalan. IEEE Transactions on Knowledge and Data Engineering, 18 (10):
1411--1428(2006)Member-Chia-Hui Chang and Member-Moheb Ramzy Girgis.
A. Takasu. JCDL '03: Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries, page 49--60. Washington, DC, USA, IEEE Computer Society, (2003)