Abstract
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.
This work was financed by the National Centre for Research and Development (NCBiR) project SP/I/1/77065/10 (“SyNaT”).
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Radziszewski, A., Orłowicz, P., Broda, B. (2013). Classification of Predicate-Argument Relations in Polish Data. In: Kłopotek, M.A., Koronacki, J., Marciniak, M., Mykowiecka, A., Wierzchoń, S.T. (eds) Language Processing and Intelligent Information Systems. IIS 2013. Lecture Notes in Computer Science, vol 7912. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38634-3_4
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DOI: https://doi.org/10.1007/978-3-642-38634-3_4
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