	<TI>	<VO>	<PP>	<GL>	<OR>	<DA>	<PU>	<JN>	<AU>	<FL>	<NG>	<DE>
<TI>	1237	2	 	1	3	 	 	40	52	 	 	11	
<VO>	 	155	2	 	 	 	 	 	5	 	 	2	
<PP>	 	9	206	 	 	22	 	 	 	 	 	5	
<GL>	 	 	 	56	1	 	 	 	3	 	 	 	
<OR>	 	 	 	 	 	 	 	 	 	 	 	 	
<DA>	 	 	 	 	 	260	 	5	4	 	2	 	
<PU>	 	 	 	 	 	 	8	 	 	 	 	 	
<JN>	22	 	 	 	10	 	5	865	4	1	 	1	
<AU>	6	 	 	 	3	 	 	 	1522	 	 	2	
<FL>	 	 	 	 	 	 	 	 	 	115	 	 	
<NG>	 	8	 	 	 	6	 	14	 	12	76	 	
<DE>	1	 	 	 	 	 	 	10	5	3	 	708	


jj <TI>	train#=13883	Ori#=1346	Ext#=1266	Cor#=1237	R=91.9	P=97.71	f=94.72

jj <VO>	train#=1459	Ori#=164	Ext#=174	Cor#=155	R=94.51	P=89.08	f=91.72

jj <PP>	train#=3115	Ori#=242	Ext#=208	Cor#=206	R=85.12	P=99.04	f=91.56

jj <GL>	train#=2003	Ori#=60	Ext#=57	Cor#=56	R=93.33	P=98.25	f=95.73

jj <OR>	train#=582	Ori#=0	Ext#=17	Cor#=0	R=	P=0	f=

jj <DA>	train#=3114	Ori#=271	Ext#=288	Cor#=260	R=95.94	P=90.28	f=93.02

jj <PU>	train#=917	Ori#=8	Ext#=13	Cor#=8	R=100	P=61.54	f=76.19

jj <JN>	train#=13105	Ori#=908	Ext#=934	Cor#=865	R=95.26	P=92.61	f=93.92

jj <AU>	train#=15351	Ori#=1533	Ext#=1595	Cor#=1522	R=99.28	P=95.42	f=97.31

jj <FL>	train#=1353	Ori#=115	Ext#=131	Cor#=115	R=100	P=87.79	f=93.5

jj <NG>	train#=1247	Ori#=116	Ext#=78	Cor#=76	R=65.52	P=97.44	f=78.35

jj <DE>	train#=11369	Ori#=727	Ext#=729	Cor#=708	R=97.39	P=97.12	f=97.25

-------------------------------------
<TI> recall=1237.0/1346.0=91.9	precision=1237.0/1266.0=97.71	fScore=94.72

<VO> recall=155.0/164.0=94.51	precision=155.0/174.0=89.08	fScore=91.72

<PP> recall=206.0/242.0=85.12	precision=206.0/208.0=99.04	fScore=91.56

<GL> recall=56.0/60.0=93.33	precision=56.0/57.0=98.25	fScore=95.73

<OR> recall=0.0/0.0=	precision=0.0/17.0=0	fScore=

<DA> recall=260.0/271.0=95.94	precision=260.0/288.0=90.28	fScore=93.02

<PU> recall=8.0/8.0=100	precision=8.0/13.0=61.54	fScore=76.19

<JN> recall=865.0/908.0=95.26	precision=865.0/934.0=92.61	fScore=93.92

<AU> recall=1522.0/1533.0=99.28	precision=1522.0/1595.0=95.42	fScore=97.31

<FL> recall=115.0/115.0=100	precision=115.0/131.0=87.79	fScore=93.5

<NG> recall=76.0/116.0=65.52	precision=76.0/78.0=97.44	fScore=78.35

<DE> recall=708.0/727.0=97.39	precision=708.0/729.0=97.12	fScore=97.25

