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ConceptNet 5: A Large Semantic Network for Relational Knowledge

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The People’s Web Meets NLP

Abstract

ConceptNet is a knowledge representation project, providing a large semantic graph that describes general human knowledge and how it is expressed in natural language. Here we present the latest iteration, ConceptNet 5, with a focus on its fundamental design decisions and ways to interoperate with it.

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Notes

  1. 1.

    http://github.com/commonsense/metanl

  2. 2.

    Statistics apply to the May 1, 2012 release.

  3. 3.

    https://github.com/commonsense/conceptnet5/wiki/API

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Authors and Affiliations

  1. MIT Media Lab, 20 Ames St., Cambridge, MA, 02142, USA

    Robyn Speer & Catherine Havasi

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  1. Robyn Speer
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  2. Catherine Havasi
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Correspondence to Robyn Speer or Catherine Havasi .

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Editors and Affiliations

  1. Department of Computer Science Ubiquitous Knowledge Processing (UKP) Lab, Technische Universität Darmstadt, Darmstadt, Germany

    Iryna Gurevych  & Jungi Kim  & 

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Speer, R., Havasi, C. (2013). ConceptNet 5: A Large Semantic Network for Relational Knowledge. In: Gurevych, I., Kim, J. (eds) The People’s Web Meets NLP. Theory and Applications of Natural Language Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35085-6_6

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  • DOI: https://doi.org/10.1007/978-3-642-35085-6_6

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