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
Lush is an object-oriented programming language designed for researchers, experimenters, and engineers interested in large-scale numerical and graphic applications.
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.
The aim of MLpedia is to provide comprehensive information on a range of machine learning methods and applications, written and maintained by researchers and practitioners. Find out how to take part.
R. Agrawal, T. Imielinski, und A. Swami. SIGMOD '93: Proceedings of the 1993 ACM SIGMOD international conference on Management of data, Seite 207--216. New York, NY, USA, ACM Press, (1993)