Representing General Relational Knowledge in ConceptNet 5

Robyn Speer, 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.
Anthology ID:
L12-1639
Volume:
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
Month:
May
Year:
2012
Address:
Istanbul, Turkey
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
3679–3686
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/1072_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Robyn Speer and Catherine Havasi. 2012. Representing General Relational Knowledge in ConceptNet 5. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 3679–3686, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
Representing General Relational Knowledge in ConceptNet 5 (Speer & Havasi, LREC 2012)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/1072_Paper.pdf