Human Verb Associations as the Basis for Gold Standard Verb Classes: Validation against GermaNet and FrameNet

Sabine Schulte im Walde


Abstract
We describe a gold standard for semantic verb classes which is based on human associations to verbs. The associations were collected in a web experiment and then applied as verb features in a hierarchical cluster analysis. We claim that the resulting classes represent a theory-independent gold standard classification which covers a variety of semantic verb relations, and whose features can be used to guide the feature selection in automatic processes. To evaluate our claims, the association-based classification is validated against two standard approaches to semantic verb classes, GermaNet and FrameNet.
Anthology ID:
L06-1192
Volume:
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
Month:
May
Year:
2006
Address:
Genoa, Italy
Editors:
Nicoletta Calzolari, Khalid Choukri, Aldo Gangemi, Bente Maegaard, Joseph Mariani, Jan Odijk, Daniel Tapias
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2006/pdf/333_pdf.pdf
DOI:
Bibkey:
Cite (ACL):
Sabine Schulte im Walde. 2006. Human Verb Associations as the Basis for Gold Standard Verb Classes: Validation against GermaNet and FrameNet. In Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06), Genoa, Italy. European Language Resources Association (ELRA).
Cite (Informal):
Human Verb Associations as the Basis for Gold Standard Verb Classes: Validation against GermaNet and FrameNet (Schulte im Walde, LREC 2006)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2006/pdf/333_pdf.pdf