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).
翻译:本技术报告介绍了经修改的LOME框架语义分解模型(Xia等人,EACL 2021),该模型能够根据“Kicktionary”特定域域框架网资源自动注解案文,提出了培训模型的若干方法,尽管现有培训数据有限,但与现有说明的性质有关的评价存在一些挑战,但初步结果很有希望,最佳模型达到F1核心0.83(框架预测)和0.81(结构角色预测)。