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    dct:description "KGQA has a long tradition in the Semantic Web community, particularly under the Question Answering over Linked Data (QALD) moniker and challenge series. With the rise of LLMs, the performance of state-of-the-art systems has improved dramatically. However, benchmark datasets in the space exhibit well-known limitations due, for example, to the manual cost of creating parallel corpora of natural language questions and structured queries. To address this issue, QAWiki (https://qawiki.org) proposes a collaboratively-edited community resource of hand-crafted question-query pairs, focusing currently on English & Spanish questions answered over Wikidata's SPARQL query service. The motivation is two-fold: (1) to evaluate KGQA systems over a hand-crafted collection of multilingual question-query pairs over Wikidata, and (2) to build a community centered around QAWiki, to expand and improve it, and thus expand and improve the resources available for training and benchmarking of KGQA systems.";
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  <https://orcid.org/0000-0002-0191-7211> foaf:name "Ricardo Usbeck" .
  
  <https://orcid.org/0000-0002-1267-0234> foaf:name "Tobias Kuhn" .
  
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