IllinoisSL: A JAVA Library for Structured Prediction
This provides a software solution for researchers and practitioners needing structured prediction tools, but it is incremental as it builds on existing methods.
The authors tackled the problem of structured prediction by developing IllinoisSL, a Java library that supports structured Support Vector Machines and structured Perceptron, resulting in a tool that is efficient, general, and easy to use compared to other libraries.
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.