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@inproceedings{1400970,
author = {Šulganová, Terézia and Medveď, Marek and Horák, Aleš},
address = {Brno},
booktitle = {Proceedings of the Eleventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2017},
editor = {Aleš Horák, Pavel Rychlý, Adam Rambousek},
keywords = {question answering; QA dataset; SQAD},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Brno},
isbn = {978-80-263-1340-3},
pages = {79-84},
publisher = {Tribun EU},
title = {Enlargement of the Czech Question-Answering Dataset to SQAD v2.0},
url = {http://raslan2017.nlp-consulting.net/proceedings},
year = {2017}
}
TY - JOUR
ID - 1400970
AU - Šulganová, Terézia - Medveď, Marek - Horák, Aleš
PY - 2017
TI - Enlargement of the Czech Question-Answering Dataset to SQAD v2.0
PB - Tribun EU
CY - Brno
SN - 9788026313403
KW - question answering
KW - QA dataset
KW - SQAD
UR - http://raslan2017.nlp-consulting.net/proceedings
N2 - In this paper, we present the second version of Czech question-answering dataset called SQAD v2.0 (Simple Question Answering Database). The new version represents a large extension of our original SQAD database. In the current release, the dataset contains nearly 9,000 question-answer pairs completed with manual annotation of question and answer types. All texts in the dataset (the source documents, the question and the respective answer) are provided with complete morphological annotation in plain textual format. We offer detailed statistics of the SQAD v2.0 dataset based on the new QA annotation.
ER -
ŠULGANOVÁ, Terézia, Marek MEDVEĎ a Aleš HORÁK. Enlargement of the Czech Question-Answering Dataset to SQAD v2.0. In Aleš Horák, Pavel Rychlý, Adam Rambousek. \textit{Proceedings of the Eleventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2017}. Brno: Tribun EU, 2017, s.~79-84. ISBN~978-80-263-1340-3.
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