Detailed Information on Publication Record
2017
Enlargement of the Czech Question-Answering Dataset to SQAD v2.0
ŠULGANOVÁ, Terézia, Marek MEDVEĎ and Aleš HORÁKBasic information
Original name
Enlargement of the Czech Question-Answering Dataset to SQAD v2.0
Authors
ŠULGANOVÁ, Terézia (703 Slovakia, guarantor, belonging to the institution), Marek MEDVEĎ (703 Slovakia, belonging to the institution) and Aleš HORÁK (203 Czech Republic)
Edition
Brno, Proceedings of the Eleventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2017, p. 79-84, 6 pp. 2017
Publisher
Tribun EU
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
References:
RIV identification code
RIV/00216224:14330/17:00095303
Organization unit
Faculty of Informatics
ISBN
978-80-263-1340-3
ISSN
UT WoS
000426613500009
Keywords in English
question answering; QA dataset; SQAD
Tags
International impact
Změněno: 27/4/2018 11:36, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
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.
Links
| GA15-13277S, research and development project |
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| LM2015071, research and development project |
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