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        <title>TTCS^\mathcalE: a Vectorial Resource for Computing Conceptual Similarity</title>
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        <namePart type="given">Enrico</namePart>
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    <name type="personal">
        <namePart type="given">Antonio</namePart>
        <namePart type="family">Lieto</namePart>
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            <title>Proceedings of the 1st Workshop on Sense, Concept and Entity Representations and their Applications</title>
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        <name type="personal">
            <namePart type="given">Jose</namePart>
            <namePart type="family">Camacho-Collados</namePart>
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            <namePart type="given">Mohammad</namePart>
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    <abstract>In this paper we introduce the TTCS^\mathcalE, 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^\mathcalE has been evaluated in a preliminary experimentation on a conceptual similarity task.</abstract>
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    <identifier type="doi">10.18653/v1/W17-1912</identifier>
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%0 Conference Proceedings
%T TTCS^\mathcalE: a Vectorial Resource for Computing Conceptual Similarity
%A Mensa, Enrico
%A Radicioni, Daniele P.
%A Lieto, Antonio
%Y Camacho-Collados, Jose
%Y Pilehvar, Mohammad Taher
%S Proceedings of the 1st Workshop on Sense, Concept and Entity Representations and their Applications
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F mensa-etal-2017-ttcs
%X In this paper we introduce the TTCS^\mathcalE, 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^\mathcalE has been evaluated in a preliminary experimentation on a conceptual similarity task.
%R 10.18653/v1/W17-1912
%U https://aclanthology.org/W17-1912
%U https://doi.org/10.18653/v1/W17-1912
%P 96-101

Markdown (Informal)

[TTCSℰ: a Vectorial Resource for Computing Conceptual Similarity](https://aclanthology.org/W17-1912) (Mensa et al., SENSE 2017)

• TTCSℰ: a Vectorial Resource for Computing Conceptual Similarity (Mensa et al., SENSE 2017)

ACL

• Enrico Mensa, Daniele P. Radicioni, and Antonio Lieto. 2017. TTCSℰ: a Vectorial Resource for Computing Conceptual Similarity. In Proceedings of the 1st Workshop on Sense, Concept and Entity Representations and their Applications, pages 96–101, Valencia, Spain. Association for Computational Linguistics.