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tabularisi
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Sample-efficient reinforcement learning in Minecraft
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ISWC 2019 Cell-Entity Annotation (CEA) Challenge
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Scoring algorithm scores correct answers as incorrect
Over 5 years agoI wonder if others have seen this problem. For example, in the airports dataset, we submit
<http://dbpedia.org/resource/Heathrow_Airport>
and it gets scored as incorrect. Only<http://dbpedia.org/resource/London_Heathrow_Airport>
gets scored as correct, even though when you put it in the browser it redirects tohttp://dbpedia.org/page/Heathrow_Airport
.The following query shows many other URIs that would be correct answers (in addition to some incorrect ones
Has anyone else faced this problem? Any suggestions on how to work around it?
Thanks