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.
I'm interested in machine learning techniques (graphical models, kernel methods) applied to text understanding (entity and relation extraction, coreference resolution, document classification and clustering, confidence prediction, social network analysis, data mining).
The mission of the Journal of Machine Learning Gossip (JMLG) is to provide an archival source of important information that is often discussed informally at conferences but is rarely, if ever, written down.
What's Torch ?
It's a machine-learning library, written in simple C++ and distributed now under a BSD license.
Torch is currently developed at IDIAP, in Switzerland mountains.
Lush is an object-oriented programming language designed for researchers, experimenters, and engineers interested in large-scale numerical and graphic applications.
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.
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
S. Wunderlich, M. Ring, D. Landes, and A. Hotho. CISIS-ICEUTE, volume 951 of Advances in Intelligent Systems and Computing, page 14-24. Springer, (2019)