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Classification of Predicate-Argument Relations in Polish Data

机译：波兰语数据中谓词-参数关系的分类

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摘要

This paper discusses the problem of syntactic relation recognition in Polish data. We consider subject, object and copula relations between VP and NP or AdjP chunks. The problem has been studied for English, while it has received very little attention in the context of Slavic languages. Slavic languages, including Polish, are characterised with relatively free word order, which makes the task more challenging than in the case of English. The task may be formulated as a classification problem and dealt with using supervised learning techniques. We propose a feature set tailored to the characteristics of Polish language and perform experiments with a number of classifiers.
机译：本文讨论了波兰语数据中的句法关系识别问题。我们考虑VP和NP或AdjP块之间的主题，客体和系动关系。该问题已针对英语进行了研究，而在斯拉夫语言中却很少受到关注。斯拉夫语（包括波兰语）具有相对自由的单词顺序，这使任务比英语更具挑战性。可以将任务表述为分类问题，并使用监督学习技术进行处理。我们提出了针对波兰语言特点的功能集，并使用许多分类器进行了实验。

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