Kicktionary-LOME: A Domain-Specific Multilingual Frame Semantic Parsing Model for Football Language
This work addresses frame semantic parsing for a specific domain (football language), but it is incremental as it adapts an existing model to new data.
The paper tackled the problem of automatically annotating football language texts using a domain-specific framenet resource, achieving promising results with F1-scores of 0.83 for frame prediction and 0.81 for semantic role prediction.
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).