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@inproceedings{1521838,
author = {Medveď, Marek and Horák, Aleš and Kušniráková, Daša},
address = {Prague, Czech Republic},
booktitle = {Proceedings of the 11th International Conference on Agents and Artificial Intelligence, Volume 2},
doi = {http://dx.doi.org/10.5220/0007396907010706},
editor = {Ana Rocha, Luc Steels, Jaap van den Herik},
keywords = {Question Answering; Question Classification; Answer Classification; Czech; Simple Question Answering Database; SQAD},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Prague, Czech Republic},
isbn = {978-989-758-350-6},
pages = {701-706},
publisher = {SCITEPRESS},
title = {Question and Answer Classification in Czech Question Answering Benchmark Dataset},
year = {2019}
}
TY - JOUR
ID - 1521838
AU - Medveď, Marek - Horák, Aleš - Kušniráková, Daša
PY - 2019
TI - Question and Answer Classification in Czech Question Answering Benchmark Dataset
PB - SCITEPRESS
CY - Prague, Czech Republic
SN - 9789897583506
KW - Question Answering
KW - Question Classification
KW - Answer Classification
KW - Czech
KW - Simple Question Answering Database
KW - SQAD
N2 - In this paper, we introduce a new updated version of the Czech Question Answering database SQAD v2.1 (Simple Question Answering Database) with the update being devoted to improved question and answer classification. The SQAD v2.1 database contains more than 8,500 question-answer pairs with all appropriate metadata for QA training and evaluation. We present the details and changes in the database structure as well as a new algorithm for detecting the question type and the actual answer type from the text of the question. The algorithm is evaluated with more than 4,000 question answer pairs reaching the F1-measure of 88% for question typed and 85% for answer type detection.
ER -
MEDVEĎ, Marek, Aleš HORÁK and Daša KUŠNIRÁKOVÁ. Question and Answer Classification in Czech Question Answering Benchmark Dataset. Online. In Ana Rocha, Luc Steels, Jaap van den Herik. \textit{Proceedings of the 11th International Conference on Agents and Artificial Intelligence, Volume 2}. Prague, Czech Republic: SCITEPRESS, 2019, p.~701-706. ISBN~978-989-758-350-6. Available from: https://dx.doi.org/10.5220/0007396907010706.
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