  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).
