Semisupervised Learning for Computational Linguistics

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Providesabroadtreatmentofthetheoryandlinguisticapplicationsofsemisupervisedmethods.Thisbookdiscussesnaturallanguageprocessingmethods,suchasself-trainingandco-training.Itfocusesonmachinelearningtechniques,includingtheboundary-orientedmethodsofperceptrons,boosting,SVMs,andthenull-categorynoisemodel.