Slovak Dataset for Multilingual Question Answering

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AMRRQJR8T" target="_blank" >RIV/00216208:11320/23:MRRQJR8T - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10082887/" target="_blank" >https://ieeexplore.ieee.org/document/10082887/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ACCESS.2023.3262308" target="_blank" >10.1109/ACCESS.2023.3262308</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Slovak Dataset for Multilingual Question Answering

Popis výsledku v původním jazyce

"SK-QuAD is the first manually annotated dataset of questions and answers in Slovak. It consists of more than 91k factual questions and answers from various fields. Each question has an answer marked in the corresponding paragraph. It also contains negative examples in the form of ‘‘unanswered questions’’ and ‘‘plausible answers’’. The dataset is published free of charge for scientific use. We aim to contribute to the creation of Slovak or multilingual systems for generating an answer to a question in a natural language. The paper provides an overview of the existing datasets for question answering. It describes the annotation process and statistically analyzes the created content. The dataset expands the possibilities of training and evaluation of multilingual language models. Experiments show that the dataset achieves state-of-the-art results for Slovak and improves question answering for other languages in zero-shot learning. We compare the effect of machine-translated data with manually annotated. Additional data improve the modeling for low-resourced languages."

Název v anglickém jazyce

Slovak Dataset for Multilingual Question Answering

Popis výsledku anglicky

"SK-QuAD is the first manually annotated dataset of questions and answers in Slovak. It consists of more than 91k factual questions and answers from various fields. Each question has an answer marked in the corresponding paragraph. It also contains negative examples in the form of ‘‘unanswered questions’’ and ‘‘plausible answers’’. The dataset is published free of charge for scientific use. We aim to contribute to the creation of Slovak or multilingual systems for generating an answer to a question in a natural language. The paper provides an overview of the existing datasets for question answering. It describes the annotation process and statistically analyzes the created content. The dataset expands the possibilities of training and evaluation of multilingual language models. Experiments show that the dataset achieves state-of-the-art results for Slovak and improves question answering for other languages in zero-shot learning. We compare the effect of machine-translated data with manually annotated. Additional data improve the modeling for low-resourced languages."

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

—

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

"IEEE Access"

ISSN

2169-3536

e-ISSN

—

Svazek periodika

11

Číslo periodika v rámci svazku

2023-7-19

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

13

Strana od-do

32869-32881

Kód UT WoS článku

000967620900001

EID výsledku v databázi Scopus

2-s2.0-85151539273