	<TI>	<VO>	<PP>	<GL>	<OR>	<DA>	<PU>	<JN>	<AU>	<FL>	<NG>	<DE>
<TI>	975	2	2	 	8	 	 	5	3	 	3	3	
<VO>	8	170	 	1	 	 	 	3	3	 	 	5	
<PP>	 	4	252	 	 	 	 	 	 	 	 	 	
<GL>	 	 	 	119	 	 	 	 	6	 	 	2	
<OR>	3	2	 	 	56	 	 	7	 	 	 	1	
<DA>	 	4	3	 	 	227	 	3	2	 	 	6	
<PU>	 	 	 	 	 	 	32	 	 	 	 	 	
<JN>	26	1	 	 	 	 	 	622	3	 	 	3	
<AU>	 	 	4	 	 	 	 	 	894	 	 	3	
<FL>	 	 	 	 	 	 	 	 	 	 	 	 	
<NG>	 	 	 	 	 	 	 	9	 	 	94	6	
<DE>	3	 	 	1	 	1	 	8	 	 	 	716	


zhu <TI>	train#=14228	Ori#=1001	Ext#=1015	Cor#=975	R=97.4	P=96.06	f=96.73

zhu <VO>	train#=1433	Ori#=190	Ext#=183	Cor#=170	R=89.47	P=92.9	f=91.15

zhu <PP>	train#=3101	Ori#=256	Ext#=261	Cor#=252	R=98.44	P=96.55	f=97.49

zhu <GL>	train#=1936	Ori#=127	Ext#=121	Cor#=119	R=93.7	P=98.35	f=95.97

zhu <OR>	train#=513	Ori#=69	Ext#=64	Cor#=56	R=81.16	P=87.5	f=84.21

zhu <DA>	train#=3140	Ori#=245	Ext#=228	Cor#=227	R=92.65	P=99.56	f=95.98

zhu <PU>	train#=893	Ori#=32	Ext#=32	Cor#=32	R=100	P=100	f=100

zhu <JN>	train#=13358	Ori#=655	Ext#=657	Cor#=622	R=94.96	P=94.67	f=94.82

zhu <AU>	train#=15983	Ori#=901	Ext#=911	Cor#=894	R=99.22	P=98.13	f=98.68

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

zhu <NG>	train#=1254	Ori#=109	Ext#=97	Cor#=94	R=86.24	P=96.91	f=91.26

zhu <DE>	train#=11367	Ori#=729	Ext#=745	Cor#=716	R=98.22	P=96.11	f=97.15

-------------------------------------
<TI> recall=5039.0/5427.0=92.85	precision=5039.0/5643.0=89.3	fScore=91.04

<VO> recall=597.0/761.0=78.45	precision=597.0/667.0=89.51	fScore=83.61

<PP> recall=1171.0/1226.0=95.51	precision=1171.0/1284.0=91.2	fScore=93.31

<GL> recall=869.0/925.0=93.95	precision=869.0/1159.0=74.98	fScore=83.4

<OR> recall=121.0/188.0=64.36	precision=121.0/180.0=67.22	fScore=65.76

<DA> recall=972.0/1082.0=89.83	precision=972.0/988.0=98.38	fScore=93.91

<PU> recall=288.0/340.0=84.71	precision=288.0/319.0=90.28	fScore=87.41

<JN> recall=4691.0/5397.0=86.92	precision=4691.0/5208.0=90.07	fScore=88.47

<AU> recall=5806.0/6159.0=94.27	precision=5806.0/5962.0=97.38	fScore=95.8

<FL> recall=265.0/336.0=78.87	precision=265.0/281.0=94.31	fScore=85.9

<NG> recall=285.0/420.0=67.86	precision=285.0/370.0=77.03	fScore=72.15

<DE> recall=4589.0/4693.0=97.78	precision=4589.0/4893.0=93.79	fScore=95.74

