	<TI>	<VO>	<PP>	<GL>	<OR>	<DA>	<PU>	<JN>	<AU>	<FL>	<NG>	<DE>
<TI>	1288	 	 	2	3	 	 	145	15	2	 	8	
<VO>	3	123	 	 	 	1	 	5	6	 	 	1	
<PP>	 	16	317	 	 	21	 	 	 	 	 	 	
<GL>	 	 	 	185	1	2	2	 	6	1	 	2	
<OR>	 	 	 	 	119	 	 	6	1	 	38	8	
<DA>	 	 	 	3	2	264	 	8	 	 	 	 	
<PU>	 	 	 	 	2	 	30	4	 	 	 	 	
<JN>	63	 	 	17	15	8	2	1088	46	3	 	37	
<AU>	 	4	 	7	108	 	 	 	1220	 	 	 	
<FL>	 	 	 	 	 	 	 	 	 	 	 	 	
<NG>	 	 	 	 	 	 	 	11	 	 	34	2	
<DE>	2	26	 	2	 	 	 	15	7	 	12	1059	


gg <TI>	train#=13766	Ori#=1463	Ext#=1356	Cor#=1288	R=88.04	P=94.99	f=91.38

gg <VO>	train#=1484	Ori#=139	Ext#=169	Cor#=123	R=88.49	P=72.78	f=79.87

gg <PP>	train#=3003	Ori#=354	Ext#=317	Cor#=317	R=89.55	P=100	f=94.49

gg <GL>	train#=1864	Ori#=199	Ext#=216	Cor#=185	R=92.96	P=85.65	f=89.16

gg <OR>	train#=410	Ori#=172	Ext#=250	Cor#=119	R=69.19	P=47.6	f=56.4

gg <DA>	train#=3108	Ori#=277	Ext#=296	Cor#=264	R=95.31	P=89.19	f=92.15

gg <PU>	train#=889	Ori#=36	Ext#=34	Cor#=30	R=83.33	P=88.24	f=85.71

gg <JN>	train#=12734	Ori#=1279	Ext#=1282	Cor#=1088	R=85.07	P=84.87	f=84.97

gg <AU>	train#=15545	Ori#=1339	Ext#=1301	Cor#=1220	R=91.11	P=93.77	f=92.42

gg <FL>	train#=1468	Ori#=0	Ext#=6	Cor#=0	R=	P=0	f=

gg <NG>	train#=1316	Ori#=47	Ext#=84	Cor#=34	R=72.34	P=40.48	f=51.91

gg <DE>	train#=10973	Ori#=1123	Ext#=1117	Cor#=1059	R=94.3	P=94.81	f=94.55

-------------------------------------
<TI> recall=1288.0/1463.0=88.04	precision=1288.0/1356.0=94.99	fScore=91.38

<VO> recall=123.0/139.0=88.49	precision=123.0/169.0=72.78	fScore=79.87

<PP> recall=317.0/354.0=89.55	precision=317.0/317.0=100	fScore=94.49

<GL> recall=185.0/199.0=92.96	precision=185.0/216.0=85.65	fScore=89.16

<OR> recall=119.0/172.0=69.19	precision=119.0/250.0=47.6	fScore=56.4

<DA> recall=264.0/277.0=95.31	precision=264.0/296.0=89.19	fScore=92.15

<PU> recall=30.0/36.0=83.33	precision=30.0/34.0=88.24	fScore=85.71

<JN> recall=1088.0/1279.0=85.07	precision=1088.0/1282.0=84.87	fScore=84.97

<AU> recall=1220.0/1339.0=91.11	precision=1220.0/1301.0=93.77	fScore=92.42

<FL> recall=0.0/0.0=	precision=0.0/6.0=0	fScore=

<NG> recall=34.0/47.0=72.34	precision=34.0/84.0=40.48	fScore=51.91

<DE> recall=1059.0/1123.0=94.3	precision=1059.0/1117.0=94.81	fScore=94.55

