Question and Answer Classification in Czech Question Answering Benchmark Dataset
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F19%3A00107362" target="_blank" >RIV/00216224:14330/19:00107362 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5220/0007396907010706" target="_blank" >http://dx.doi.org/10.5220/0007396907010706</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0007396907010706" target="_blank" >10.5220/0007396907010706</a>
Alternative languages
Result language
angličtina
Original language name
Question and Answer Classification in Czech Question Answering Benchmark Dataset
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
<a href="/en/project/GA18-23891S" target="_blank" >GA18-23891S: Hyperintensional Reasoning over Natural Language Texts</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 11th International Conference on Agents and Artificial Intelligence, Volume 2
ISBN
9789897583506
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
701-706
Publisher name
SCITEPRESS
Place of publication
Prague, Czech Republic
Event location
Prague, Czech Republic
Event date
Jan 1, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000671841000075