Construction of a FrameNet Labeler for Swedish Text
Författare
Summary, in English
Apart from being the first such system for Swedish, this is, as far as we are aware, the first semantic role labeling system for a language for which no role-semantic annotated corpora are available.
The estimated accuracy of classification of pre-segmented frame elements is 0.75, and the precision and recall measures for the complete task are 0.67 and 0.47, respectively.
Publiceringsår
2006
Språk
Engelska
Publikation/Tidskrift/Serie
Proceedings of the International Conference on Language Resources and Evaluation (LREC-2006)
Dokumenttyp
Konferensbidrag
Ämne
- Computer Science
Nyckelord
- Natural language processing
- semantic analysis
Conference name
International Conference on Language Resources and Evaluation (LREC-2006)
Conference date
2006-05-24 - 2006-05-26
Conference place
Genoa, Italy
Status
Published