A Resource-Driven Approach for Anchoring Linguistic Resources to Conceptual Spaces

  • Antonio Lieto
  • Enrico Mensa
  • Daniele P. RadicioniEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10037)


In this paper we introduce the ttcs system, so named after Terms To Conceptual Spaces, that exploits a resource-driven approach relying on BabelNet, NASARI and ConceptNet. ttcs takes in input a term and its context of usage and produces as output a specific type of vector-based semantic representation, where conceptual information is encoded through the Conceptual Spaces (a geometric framework for common-sense knowledge representation and reasoning). The system has been evaluated in a twofold experimentation. In the first case we assessed the quality of the extracted common-sense conceptual information with respect to human judgments with an online questionnaire. In the second one we compared the performances of a conceptual categorization system that was run twice, once fed with extracted annotations and once with hand-crafted annotations. In both cases the results are encouraging and provide precious insights to make substantial improvements.


NLP Lexical semantics Lexical resources integration 


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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Antonio Lieto
    • 1
  • Enrico Mensa
    • 1
  • Daniele P. Radicioni
    • 1
    Email author
  1. 1.Dipartimento di InformaticaUniversità degli Studi di TorinoTurinItaly

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