Abstract
This paper deals with a problem of question type classification for Polish Question Answering (QA). The goal of this task is to determine both a general type and a class of an entity which is expected as an answer. Three types of approaches: pattern matching, WordNet-aided focus analysis and machine learning are presented and evaluated using a test set of 1137 manually classified questions from a Polish quiz TV show. Quantitative results supported with an analysis of error sources help to find possible improvements.
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Przybyła, P. (2013). Question Classification for Polish Question Answering. 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_7
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DOI: https://doi.org/10.1007/978-3-642-38634-3_7
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