rewordQALD9: A Bilingual Benchmark with Alternative Rewordings of QALD Questions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3ARZH26RSD" target="_blank" >RIV/00216208:11320/22:RZH26RSD - isvavai.cz</a>
Result on the web
<a href="https://hdl.handle.net/11584/346833" target="_blank" >https://hdl.handle.net/11584/346833</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
rewordQALD9: A Bilingual Benchmark with Alternative Rewordings of QALD Questions
Original language description
In this paper we describe an extended version of the QALD dataset, a well-known benchmark resource used for the task of Question Answering over knowledge graphs (KGQA). Along the lines of similar projects, the purpose of this work is to make available a) high-quality data even for languages other than English, and b) multiple reformulations of the same question, to test systems’ robustness. The QALD version we used is the one released for the 9th edition of the challenge of Question Answering over Linked Data, and the languages involved are English and Italian. Besides a revised and improved quality of Italian translations of questions, the resource presented here features a number of alternative rewordings of both English and Italian questions. The usability of the resource has been tested on the QAnswer multilingual Question Answering system and through the GERBIL platform. The resource has been publicly released for research purposes.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SEMANTICS 2022 EU: 18th International Conference on Semantic Systems
ISBN
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ISSN
1613-0073
e-ISSN
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Number of pages
5
Pages from-to
1-5
Publisher name
CEUR Workshop Proceedings
Place of publication
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Event location
Vienna, Austria
Event date
Jan 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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