Combining Semantic Annotation of Word Sense & Semantic Roles: A Novel Annotation Scheme for VerbNet Roles on German Language Data

Éva Mújdricza-Maydt, Silvana Hartmann, Iryna Gurevych, Anette Frank


Abstract
We present a VerbNet-based annotation scheme for semantic roles that we explore in an annotation study on German language data that combines word sense and semantic role annotation. We reannotate a substantial portion of the SALSA corpus with GermaNet senses and a revised scheme of VerbNet roles. We provide a detailed evaluation of the interaction between sense and role annotation. The resulting corpus will allow us to compare VerbNet role annotation for German to FrameNet and PropBank annotation by mapping to existing role annotations on the SALSA corpus. We publish the annotated corpus and detailed guidelines for the new role annotation scheme.
Anthology ID:
L16-1484
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
3031–3038
Language:
URL:
https://aclanthology.org/L16-1484
DOI:
Bibkey:
Cite (ACL):
Éva Mújdricza-Maydt, Silvana Hartmann, Iryna Gurevych, and Anette Frank. 2016. Combining Semantic Annotation of Word Sense & Semantic Roles: A Novel Annotation Scheme for VerbNet Roles on German Language Data. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 3031–3038, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
Combining Semantic Annotation of Word Sense & Semantic Roles: A Novel Annotation Scheme for VerbNet Roles on German Language Data (Mújdricza-Maydt et al., LREC 2016)
Copy Citation:
PDF:
https://aclanthology.org/L16-1484.pdf
Data
FrameNet