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dbpedia / neural-qa

📚 A Neural QA Model for DBpedia using Neural SPARQL Machines.

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Quality control on DBNQA dataset

edgardmarx opened this issue · comments

commented

This task consists in to verify the quality of annotated question in the DBNQA dataset involving the following:

  • check SPARQL queries templates with SPARQL syntax errors;
  • check SPARQL queries that return empty results;
  • check the annotated templates and SPARQL templates are well-formed (e.g. (1) does not contain double spaces between words; (2) does not contain spelling mistakes; (3) the question does make any sense)