Samenvatting
This technical report introduces an adapted version of the LOME frame semantic parsing model (Xia et al., EACL 2021) which is capable of automatically annotating texts according to the "Kicktionary" domain-specific framenet resource. Several methods for training a model even with limited available training data are proposed. While there are some challenges for evaluation related to the nature of the available annotations, preliminary results are very promising, with the best model reaching F1-scores of 0.83 (frame prediction) and 0.81 (semantic role prediction).
| Originele taal-2 | English |
|---|---|
| Uitgever | arXiv |
| Aantal pagina's | 5 |
| DOI's | |
| Status | Submitted - 12-aug.-2021 |
Vingerafdruk
Duik in de onderzoeksthema's van 'Kicktionary-LOME: A Domain-Specific Multilingual Frame Semantic Parsing Model for Football Language'. Samen vormen ze een unieke vingerafdruk.Citeer dit
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver