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. © 2013 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Przybyła, P. (2013). Question classification for polish question answering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7912 LNCS, pp. 50–56). https://doi.org/10.1007/978-3-642-38634-3_7
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