	<TI>	<VO>	<PP>	<GL>	<OR>	<DA>	<PU>	<JN>	<AU>	<FL>	<NG>	<DE>
<TI>	1160	 	 	3	2	 	 	147	8	 	3	9	
<VO>	4	94	 	 	 	 	 	27	7	 	 	4	
<PP>	 	24	277	12	 	3	3	3	 	 	 	 	
<GL>	 	 	 	252	8	 	 	 	18	 	 	2	
<OR>	 	 	 	 	 	 	 	 	 	 	 	 	
<DA>	 	4	 	 	 	224	 	2	2	 	2	1	
<PU>	 	 	 	1	 	 	45	 	12	 	 	2	
<JN>	99	 	 	2	11	 	 	1366	27	 	2	12	
<AU>	 	 	 	 	1	 	 	8	1734	 	 	 	
<FL>	 	 	 	 	 	 	 	 	 	35	 	 	
<NG>	2	 	 	 	 	 	 	6	1	 	43	1	
<DE>	 	 	1	 	 	1	 	15	 	 	 	1160	


g <TI>	train#=13897	Ori#=1332	Ext#=1265	Cor#=1160	R=87.09	P=91.7	f=89.33

g <VO>	train#=1487	Ori#=136	Ext#=122	Cor#=94	R=69.12	P=77.05	f=72.87

g <PP>	train#=3035	Ori#=322	Ext#=278	Cor#=277	R=86.02	P=99.64	f=92.33

g <GL>	train#=1783	Ori#=280	Ext#=270	Cor#=252	R=90	P=93.33	f=91.64

g <OR>	train#=582	Ori#=0	Ext#=22	Cor#=0	R=	P=0	f=

g <DA>	train#=3150	Ori#=235	Ext#=228	Cor#=224	R=95.32	P=98.25	f=96.76

g <PU>	train#=865	Ori#=60	Ext#=48	Cor#=45	R=75	P=93.75	f=83.33

g <JN>	train#=12494	Ori#=1519	Ext#=1574	Cor#=1366	R=89.93	P=86.79	f=88.33

g <AU>	train#=15141	Ori#=1743	Ext#=1809	Cor#=1734	R=99.48	P=95.85	f=97.64

g <FL>	train#=1433	Ori#=35	Ext#=35	Cor#=35	R=100	P=100	f=100

g <NG>	train#=1310	Ori#=53	Ext#=50	Cor#=43	R=81.13	P=86	f=83.5

g <DE>	train#=10919	Ori#=1177	Ext#=1191	Cor#=1160	R=98.56	P=97.4	f=97.97

-------------------------------------
<TI> recall=1160.0/1332.0=87.09	precision=1160.0/1265.0=91.7	fScore=89.33

<VO> recall=94.0/136.0=69.12	precision=94.0/122.0=77.05	fScore=72.87

<PP> recall=277.0/322.0=86.02	precision=277.0/278.0=99.64	fScore=92.33

<GL> recall=252.0/280.0=90	precision=252.0/270.0=93.33	fScore=91.64

<OR> recall=0.0/0.0=	precision=0.0/22.0=0	fScore=

<DA> recall=224.0/235.0=95.32	precision=224.0/228.0=98.25	fScore=96.76

<PU> recall=45.0/60.0=75	precision=45.0/48.0=93.75	fScore=83.33

<JN> recall=1366.0/1519.0=89.93	precision=1366.0/1574.0=86.79	fScore=88.33

<AU> recall=1734.0/1743.0=99.48	precision=1734.0/1809.0=95.85	fScore=97.64

<FL> recall=35.0/35.0=100	precision=35.0/35.0=100	fScore=100

<NG> recall=43.0/53.0=81.13	precision=43.0/50.0=86	fScore=83.5

<DE> recall=1160.0/1177.0=98.56	precision=1160.0/1191.0=97.4	fScore=97.97

