AMAL: Answering French Natural Language Questions Using DBpedia

  • Nikolay Radoev
  • Mathieu Tremblay
  • Michel Gagnon
  • Amal Zouaq
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 769)

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.

Keywords

Question answering Linked data RDF DBpedia SPARQL 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Nikolay Radoev
    • 1
  • Mathieu Tremblay
    • 1
  • Michel Gagnon
    • 1
  • Amal Zouaq
    • 2
  1. 1.Département de Génie Informatique et Génie LogicielPolytechnique MontréalMontrealCanada
  2. 2.School of Electrical Engineering and Computer ScienceUniversity of OttawaOttawaCanada

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