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Provided by: RWTH Aachen University
Topic: Data Management
Format: PDF
Much research has been done to combine the fields of databases and natural language processing. While many works focus on the problem of deriving a structured query for a given natural language question, the problem of query verbalization - translating a structured query into natural language - is less explored. In this paper, the authors describe their approach to verbalizing SPARQL queries in order to create natural language expressions that are readable and understandable by the human day-to-day user.
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