BMC Bioinformatics

Table 6 Results of relation detection algorithm for Titles and PMAs

From: Digital surveillance in Latin American diseases outbreaks: information extraction from a novel Spanish corpus

Relation	Titles			PMAs
Relation	P	R	F1	P	R	F1
DsOccIn	0.93	1.00	0.97	0.89	0.89	0.89
DtDs				0.92	0.87	0.90
NegDs	0.00	0.00	0.00	0.51	0.95	0.67
NegNoC				0.42	1.00	0.60
NegOr	1.00	1.00	1.00	0.75	1.00	0.86
NegTf				0.57	1.00	0.72
NoCDs	0.88	1.00	0.93	0.82	0.91	0.86
NoCHst				0.48	0.97	0.64
NoCLoc	0.67	1.00	0.80	0.33	0.91	0.48
OccTo	0.89	1.00	0.94	0.83	0.88	0.86
OrDs	0.79	1.00	0.89	0.87	0.86	0.86
OrOccIn	0.33	1.00	0.50	0.30	0.76	0.43
PtDs				0.56	0.92	0.70
PtNoC				0.67	0.93	0.78
TfDs	0.65	1.00	0.79	0.62	0.82	0.71
TfOccIn	0.44	1.00	0.61	0.31	1.00	0.47
TfOr	0.50	1.00	0.67	0.76	0.93	0.84
UcDs	0.45	1.00	0.62	0.29	0.96	0.45
UcNoC				0.57	0.98	0.72
UcOr	1.00	1.00	1.00	0.76	0.96	0.85
UcTf	0.50	1.00	0.67	0.75	0.90	0.82
UcNoCDs				0.29	0.43	0.35
UcOrDs	0.33	0.33	0.33	0.27	0.31	0.29
UcTfDs	0.00	0.00	0.00	0.00	0.00	0.00
Micro-avg	0.86	1.00	0.92	0.62	0.90	0.73

Binary and ternary relations’ Precision (P), recall (R) and F1-score are shown. Also micro-averaged metrics are shown

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