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IllinoisSL: A JAVA Library for Structured Prediction

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arxiv 1509.07179 v1 pith:QB6KFIXE submitted 2015-09-23 cs.LG cs.CLstat.ML

Kai-Wei Chang , Shyam Upadhyay , Ming-Wei Chang , Vivek Srikumar , Dan Roth This is my paper · ORCID
classification cs.LGcs.CLstat.ML
keywords structuredillinoissllearninglibraryjavapredictionapplicationscommand-lines
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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.

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  1. Reasoning-Driven Question-Answering for Natural Language Understanding

    cs.CL 2019-08 unverdicted novelty 2.0 of 10

    The thesis presents a synthesis of previously published work on abductive reasoning for QA, essential-term detection, multi-sentence and temporal commonsense datasets, and a formal framework for reasoning limitations.

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