Abstract
While SPARQL is a powerful way of accessing linked data, using natural language is more intuitive for most users. A few question answering systems already exist for English, but none focus specifically on French. Our system allows a user to query the DBpedia knowledge by asking questions in French separated in specific types, which are automatically translated into SPARQL queries. To our knowledge, this is the first French-based question answering system in the QALD competition.
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Radoev, N., Tremblay, M., Gagnon, M., Zouaq, A. (2017). AMAL: Answering French Natural Language Questions Using DBpedia. In: Dragoni, M., Solanki, M., Blomqvist, E. (eds) Semantic Web Challenges. SemWebEval 2017. Communications in Computer and Information Science, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-319-69146-6_9
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DOI: https://doi.org/10.1007/978-3-319-69146-6_9
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