@InProceedings{mensa-radicioni-lieto:2017:SENSE2017,
  author    = {Mensa, Enrico  and  Radicioni, Daniele P.  and  Lieto, Antonio},
  title     = {TTCS\^{}e: a Vectorial Resource for Computing Conceptual Similarity},
  booktitle = {Proceedings of the 1st Workshop on Sense, Concept and Entity Representations and their Applications},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {96--101},
  abstract  = {In this paper we introduce the TTCS\^{}e, a linguistic resource that relies on
	BabelNet, NASARI and ConceptNet, that has now been used to compute the
	conceptual similarity between concept pairs. The conceptual representation
	herein provides uniform access to concepts based on BabelNet synset IDs, and
	consists of a vector-based semantic representation which is compliant with the
	Conceptual Spaces, a geometric framework for common-sense knowledge
	representation and reasoning. The TTCS\^{}e has been evaluated in a preliminary
	experimentation on a conceptual similarity task.},
  url       = {http://www.aclweb.org/anthology/W17-1912}
}