Answers are grounded in this paper and cite their sources.
We propose an approach to generate natural language questions from knowledge graphs such as DBpedia and YAGO. We stage this in the setting of a quiz game. Our approach, though, is general enough to be applicable in other settings. Given a topic of interest (e.g., Soccer) and a difficulty (e.g., hard), our approach selects a query answer, generates a SPARQL query having the answer as its sole result, before verbalizing the question.
No takes yet. Share an insight, caveat, or question.
Seyler et al. (2015) studied this question.
Synapse has enriched 2 closely related papers on similar clinical questions. Consider them for comparative context: