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Authors: Daša Kušniráková ; Marek Medved and Aleš Horák

Affiliation: Natural Language Processing Centre, Faculty of Informatics, Masaryk University Botanická 68a, 602 00, Brno and Czech Republic

ISBN: 978-989-758-350-6

Keyword(s): Question Answering, Question Classification, Answer Classification, Czech, Simple Question Answering Database, SQAD.

Related Ontology Subjects/Areas/Topics: Agents ; Applications ; Artificial Intelligence ; Conversational Agents ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Natural Language Processing ; Pattern Recognition ; Symbolic Systems

Abstract: 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.

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Paper citation in several formats:
Kušniráková, D.; Medved, M. and Horák, A. (2019). Question and Answer Classification in Czech Question Answering Benchmark Dataset.In Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-350-6, pages 701-706. DOI: 10.5220/0007396907010706

@conference{icaart19,
author={Daša Kušniráková. and Marek Medved. and Aleš Horák.},
title={Question and Answer Classification in Czech Question Answering Benchmark Dataset},
booktitle={Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2019},
pages={701-706},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007396907010706},
isbn={978-989-758-350-6},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Question and Answer Classification in Czech Question Answering Benchmark Dataset
SN - 978-989-758-350-6
AU - Kušniráková, D.
AU - Medved, M.
AU - Horák, A.
PY - 2019
SP - 701
EP - 706
DO - 10.5220/0007396907010706

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