2015 · 37 citations · 7 references
ComputingComputer ScienceComputational LinguisticsKnowledge RepresentationNatural Language ProcessingInformation ExtractionKnowledge AcquisitionKnowledge RetrievalNatural Language GenerationNatural Language UnderstandingQuestion AnsweringKnowledge Graph QueryingKnowledge Graph Question AnsweringKnowledge-based Question AnsweringKnowledge-to-text GenerationNatural Language InferenceQuery AnsweringQuestion Answering SystemsQuestion Generation
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.
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