Table 3.

Argument Identification and Argument Classification F1-Score on ACE2005-EN and ERE for low-resource event argument extraction. For each column, we bold the highest score.

Argument Identification F1-Score (%)
Model		ACE2005-EN						ERE-EN
	3%	5%	10%	20%	30%	50%	3%	5%	10%	20%	30%	50%
PAIE	38.9	46.8	62.1	69.0	69.3	73.6	-	-	-	-	-	-
TabEAE	33.9	47.3	59.1	68.4	70.3	74.1	-	-	-	-	-	-
DEGREE(EAE)	50.2	47.9	61.3	63.7	69.1	71.6	47.8	52.6	50.7	65.3	67.6	75.0
AMPERE	53.4	57.6	65.5	65.3	71.0	71.2	56.9	62.5	56.2	70.2	74.7	74.0
ECPEAE	55.9	59.6	68.2	69.0	71.6	72.4	56.3	63.4	54.4	72.4	74.8	74.9

Argument Classification F1-Score (%)
Model		ACE2005-EN						ERE-EN
	3%	5%	10%	20%	30%	50%	3%	5%	10%	20%	30%	50%
PAIE	34.7	42.3	57.1	64.3	64.9	70.0	-	-	-	-	-	-
TabEAE	27.7	38.4	52.8	61.2	65.9	71.1	-	-	-	-	-	-
DEGREE(EAE)	43.7	40.5	56.3	59.4	64.5	68.7	43.8	40.2	41.5	56.4	60.1	69.3
AMPERE	46.1	48.3	60.0	65.3	67.8	68.4	46.0	47.7	45.6	60.8	64.3	69.1
ECPEAE	47.4	51.5	61.5	64.8	67.9	69.7	49.1	51.2	44.9	65.6	64.9	69.6