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A.1 Dataset Information
Some supplementary information about the dataset is illustrated in this section. We use the MUC-4 dataset to evaluate the performance of our model. The dataset is intended for research purposes, which is consistent with our purpose of use. Besides the statistical information we provided in the main part, we illustrate the documentation of the dataset in this section. MUC-4 dataset is made of English news articles on the subject of terrorist attacks. Specifically, five arguments are extracted for the dataset: perpetrator individual, perpetrator organization, target, victim, and weapon.
Spacy 3.0.3 is used in data preprocessing. Experiments are conducted on NVIDIA GTX 1080Ti, and the training time is about four hours. The hyper-parameters are given in the table below.
Hyper-parameter	Value
Embedding size	300
Hidden size	150
Bidirectional	True
Layers of encoder	2
Layers of graph2token module	1
Layers of graph	1
Heads of graph	2
Optimizer	Adam
Learning rate	5e-4
Batch size	4
Dropout	0.3
Training epoch	120
Boundary score	0.65