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Classifying Semantic Relations in German Nominal Compounds using a Hybrid Annotation Scheme
( Daniil Sorokin ),( Corina Dima ),( Erhard Hinrichs ) 서울대학교 인지과학연구소 2015 Journal of Cognitive Science Vol.16 No.3
This paper reports on novel results for the automatic classification of semantic relations that hold between the constituents of nominal compounds in German. It utilizes a hybrid annotation scheme that models semantic relations using a combination of prepositional paraphrases and semantic properties. The machine learning (ML) experiments use the support vector machine (SVM) implementation in Weka for single-label prediction tasks and Weka SVMs in conjunction with the Mulan library for multi-label prediction.