Summary of the paper

Title Representing General Relational Knowledge in ConceptNet 5
Authors Robert Speer and Catherine Havasi
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. This paper presents the latest iteration, ConceptNet 5, including its fundamental design decisions, ways to use it, and evaluations of its coverage and accuracy.
Topics Knowledge Discovery/Representation, Multilinguality, LR Infrastructures and Architectures
Full paper Representing General Relational Knowledge in ConceptNet 5
Bibtex @InProceedings{SPEER12.1072,
  author = {Robert Speer and Catherine Havasi},
  title = {Representing General Relational Knowledge in ConceptNet 5},
  booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
  year = {2012},
  month = {may},
  date = {23-25},
  address = {Istanbul, Turkey},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-7-7},
  language = {english}
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