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@inproceedings{1078813, author = {Nevěřilová, Zuzana}, address = {Brno}, booktitle = {Sixth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2012}, editor = {Aleš Horák, Pavel Rychlý}, keywords = {textual entailment; evaluation data set; Czech language; paraphrasing}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Brno}, isbn = {978-80-263-0313-8}, pages = {53-58}, publisher = {Tribun EU}, title = {Building Evaluation Dataset for Textual Entailment in Czech}, url = {https://nlp.fi.muni.cz/raslan/2012/paper03.pdf}, year = {2012} }
TY - JOUR ID - 1078813 AU - Nevěřilová, Zuzana PY - 2012 TI - Building Evaluation Dataset for Textual Entailment in Czech PB - Tribun EU CY - Brno SN - 9788026303138 KW - textual entailment KW - evaluation data set KW - Czech language KW - paraphrasing UR - https://nlp.fi.muni.cz/raslan/2012/paper03.pdf N2 - Recognizing textual entailment (RTE) is a subfield of natural language processing (NLP). Currently several RTE systems exist in which some of the subtasks are language independent but some are not. Moreover, large datasets for evaluation are prepared almost exclusively for English language. In this paper we describe methods for obtaining test dataset for RTE in Czech. We have used methods for extracting facts from texts based on corpus templates as well as syntactic parser. Moreover, we have used reading comprehension tests for children and students. The main contribution of this article is the classification of “difficulty levels” for particular RTE questions. ER -
NEVĚŘILOVÁ, Zuzana. Building Evaluation Dataset for Textual Entailment in Czech. In Aleš Horák, Pavel Rychlý. \textit{Sixth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2012}. Brno: Tribun EU, 2012, s.~53-58. ISBN~978-80-263-0313-8.
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