Text Matching and Categorization: Mining Implicit Semantic Knowledge from Tree-Shape Structures

Table 2

Nodes in the class-SemGraph of Car (Top 50).

Number	Noun	Weight	Number	Noun	Weight	Number	Noun	Weight
1	Model	13.66	18	Vehicle	1.18	35	Science	0.69
2	Automobile	10.77	19	Car	1.16	36	Line	0.68
3	Market	3.61	20	Santana	1.14	37	Versions	0.67
4	System	3.07	21	Bloc	1.13	38	Price	0.67
5	Engine	2.93	22	Brand	1.1	39	Function	0.66
6	Volkswagen	2.52	23	Jaguar	1.02	40	Manipulate	0.66
7	Besturn	2.3	24	Luxgen	1	41	Place	0.65
8	China	2.25	25	Ford	0.99	42	Business	0.65
9	FAW	2.17	26	Technology	0.92	43	Toyota	0.65
10	Power	2.16	27	Dongfeng	0.9	44	Motive power	0.62
11	Platform	1.5	28	Turbine	0.9	45	Car body	0.6
12	Audis	1.5	29	Intelligence	0.82	46	Weight	0.58
13	Lamp	1.49	30	Benz	0.77	47	Chrysler	0.57
14	Hybrids	1.45	31	Performance	0.76	48	Company	0.55
15	BMW	1.43	32	Citroen	0.75	49	Hongqi	0.55
16	Underpan	1.34	33	Chery	0.75	50	Space	0.55
17	Consumer	1.19	34	Gasoline	0.69