Abstract
This paper focuses on automatic methods of extracting a predicate-argument structure in Polish. Two approaches to extract selected aspects of the predicate-argument structure are evaluated. In the first experiment the multi-output version of the Random Forest classifier is used to extract a valency frame for each predicate in a sentence. In the second experiment the Conditional Random Fields classifier is used to find syntactic heads of all arguments realised in a sentence. What is more, the importance of various sources of features is presented, including shallow syntactic parsing, dependency parsing and a verb valency information. Due to the lack of the high-quality syntactic parser, the presented approach does not rely on the deep syntactic information.
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Gołuchowski, K. (2014). Experiments on the Identification of Predicate-Argument Structure in Polish. In: Przepiórkowski, A., Ogrodniczuk, M. (eds) Advances in Natural Language Processing. NLP 2014. Lecture Notes in Computer Science(), vol 8686. Springer, Cham. https://doi.org/10.1007/978-3-319-10888-9_19
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DOI: https://doi.org/10.1007/978-3-319-10888-9_19
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