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Question Answering Benchmarks for Wikidata

Abstract

Wikidata is becoming an increasingly important knowledge base whose usage is spreading in the research community. However, most question answering systems evaluation datasets rely on Freebase or DBpedia. We present two new datasets in order to train and benchmark QA systems over Wikidata. The first is a translation of the popular SimpleQuestions dataset to Wikidata, the second is a dataset created by collecting user feedbacks.
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Dates and versions

hal-01637141 , version 1 (17-11-2017)

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  • HAL Id : hal-01637141 , version 1

Cite

Dennis Diefenbach, Thomas Pellissier Tanon, Kamal Singh, Pierre Maret. Question Answering Benchmarks for Wikidata. ISWC 2017, Oct 2017, Vienne, Austria. ⟨hal-01637141⟩
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