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
- 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:
- 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)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2006/pdf/333_pdf.pdf