Question and Answer Classification in Czech Question Answering
Benchmark Dataset

D 2019

Question and Answer Classification in Czech Question Answering Benchmark Dataset

MEDVEĎ, Marek, Aleš HORÁK a Daša KUŠNIRÁKOVÁ

Základní údaje

Originální název

Question and Answer Classification in Czech Question Answering Benchmark Dataset

Autoři

MEDVEĎ, Marek (703 Slovensko, garant, domácí), Aleš HORÁK (203 Česká republika) a Daša KUŠNIRÁKOVÁ (703 Slovensko)

Vydání

Prague, Czech Republic, Proceedings of the 11th International Conference on Agents and Artificial Intelligence, Volume 2, od s. 701-706, 6 s. 2019

Nakladatel

SCITEPRESS

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10200 1.2 Computer and information sciences

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Kód RIV

RIV/00216224:14330/19:00107362

Organizační jednotka

Fakulta informatiky

ISBN

978-989-758-350-6

DOI

http://dx.doi.org/10.5220/0007396907010706

UT WoS

000671841000075

Klíčová slova anglicky

Question Answering; Question Classification; Answer Classification; Czech; Simple Question Answering Database; SQAD

Štítky

firank_B

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 14. 9. 2024 10:29, doc. RNDr. Aleš Horák, Ph.D.

Anotace

V originále

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.

Návaznosti

GA18-23891S, projekt VaV

Název: Hyperintensionální usuzování nad texty přirozeného jazyka

Investor: Grantová agentura ČR, Hyperintensionální usuzování nad texty přirozeného jazyka

MUNI/A/1018/2018, interní kód MU

Název: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VIII.

Investor: Masarykova univerzita, Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VIII., DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

MEDVEĎ, Marek, Aleš HORÁK a Daša KUŠNIRÁKOVÁ. Question and Answer Classification in Czech Question Answering Benchmark Dataset. Online. In Ana Rocha, Luc Steels, Jaap van den Herik. Proceedings of the 11th International Conference on Agents and Artificial Intelligence, Volume 2. Prague, Czech Republic: SCITEPRESS, 2019, s. 701-706. ISBN 978-989-758-350-6. Dostupné z: https://dx.doi.org/10.5220/0007396907010706.

@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 a 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, s.~701-706. ISBN~978-989-758-350-6. Dostupné z: https://dx.doi.org/10.5220/0007396907010706.

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