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.
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P. Kluegl, M. Toepfer, F. Lemmerich, A. Hotho, and F. Puppe. Mathematical Methodologies in Pattern Recognition and Machine Learning Springer Proceedings in Mathematics & Statistics, (2013)
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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)