GESL is a C library for learning a string edit distance / similarity based on convex optimization. It is able to handle multi-class problems and also includes a classification library that allows to learn a sparse classifier from an edit similarity and to evaluate its performance on test data. GESL is open-source and distributed under GNU/GPL 3 license.
Associated paper: A. Bellet, A. Habrard and M. Sebban. Good edit similarity learning by loss minimization. Machine Learning, 2012, 89(1), 5-35.
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Initial Announcement on mloss.org.
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