论文信息 - IllinoisSL: A JAVA Library for Structured Prediction

IllinoisSL: A JAVA Library for Structured Prediction

IllinoisSL is a Java library for learning structured prediction models. It supports structured Support Vector Machines and structured Perceptron. The library consists of a core learning module and several applications, which can be executed from command-lines. Documentation is provided to guide users. In Comparison to other structured learning libraries, IllinoisSL is efficient, general, and easy to use.

[1] Beatrice Santorini,et al. Building a Large Annotated Corpus of English: The Penn Treebank , 1993, CL.

[2] Michael Collins,et al. Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms , 2002, EMNLP.

[3] Ben Taskar,et al. Max-Margin Markov Networks , 2003, NIPS.

[4] Thomas Hofmann,et al. Large Margin Methods for Structured and Interdependent Output Variables , 2005, J. Mach. Learn. Res..

[5] Daniel Marcu,et al. Practical structured learning techniques for natural language processing , 2006 .

[6] Thorsten Joachims,et al. Cutting-plane training of structural SVMs , 2009, Machine Learning.

[7] Ming-Wei Chang,et al. Structured Output Learning with Indirect Supervision , 2010, ICML.

[8] Dan Roth,et al. Multi-core Structural SVM Training , 2013, ECML/PKDD.

[9] Sven Behnke,et al. PyStruct: learning structured prediction in python , 2014, J. Mach. Learn. Res..