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QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native Speakers [article]

Aleksandr Perevalov, Dennis Diefenbach, Ricardo Usbeck, Andreas Both
2022 arXiv   pre-print
In this work, we extend one of the most popular KGQA benchmarks - QALD-9 by introducing high-quality questions' translations to 8 languages provided by native speakers, and transferring the SPARQL queries  ...  The latter two of the languages are considered as "endangered" by UNESCO. We call the extended dataset QALD-9-plus and made it available online https://github.com/Perevalov/qald_9_plus.  ...  Additionally, authors would like to give thanks to Open Data Science community 11 for connecting data science enthusiasts all over the world.  ... 
arXiv:2202.00120v2 fatcat:lh47hpeo5be3tpx22tyd6gu7jy

QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native Speakers [article]

Aleksandr Perevalov, Dennis Diefenbach, Ricardo Usbeck, Andreas Both
2022
In this work, we extend one of the most popular KGQA benchmarks - QALD-9 by introducing high-quality questions' translations to 8 languages provided by native speakers, and transferring the SPARQL queries  ...  The latter two of the languages are considered as "endangered" by UNESCO. We call the extended dataset QALD-9-plus and made it available online https://github.com/Perevalov/qald_9_plus.  ...  Additionally, authors would like to give thanks to Open Data Science community 11 for connecting data science enthusiasts all over the world.  ... 
doi:10.48550/arxiv.2202.00120 fatcat:4ukfoao7dnaftgwc5mxgyxlhzu

Can Machine Translation be a Reasonable Alternative for Multilingual Question Answering Systems over Knowledge Graphs?

Aleksandr Perevalov, Andreas Both, Dennis Diefenbach, Axel-Cyrille Ngonga Ngomo
2022 Proceedings of the ACM Web Conference 2022  
For the intensive evaluation, we extend the QALD-9 dataset for KGQA with Wikidata queries and high-quality translations.  ...  By using multiple KGQA systems for the evaluation, we were enabled to investigate and answer the main research question: "Can MT be an alternative for multilingual KGQA systems?".  ...  Additionally, authors would like to give thanks to Open Data Science community 12 for connecting data science enthusiasts all over the world.  ... 
doi:10.1145/3485447.3511940 fatcat:o4uae3zfnzhd7hmochxwanih3a

Compositional Generalization in Multilingual Semantic Parsing over Wikidata [article]

Ruixiang Cui, Rahul Aralikatte, Heather Lent, Daniel Hershcovich
2022 arXiv   pre-print
We propose a method for creating a multilingual, parallel dataset of question-query pairs, grounded in Wikidata.  ...  We introduce such a dataset, which we call Multilingual Compositional Wikidata Questions (MCWQ), and use it to analyze the compositional generalization of semantic parsers in Hebrew, Kannada, Chinese and  ...  Acknowledgments The authors thank Anders Søgaard and Miryam de Lhoneux for their comments and suggestions, as well as the TACL editors and several rounds of reviewers for their constructive evaluation.  ... 
arXiv:2108.03509v2 fatcat:l5i3vozpxre6pn7lnz2dwfddwq