BMC Bioinformatics

Table 8 NLM WSD results at different k-NN threshold levels

From: Collocation analysis for UMLS knowledge-based word sense disambiguation

		AEC				MRD
		66	75	85	95	66	75	85	95
	LSC	0.7226	0.7220	0.7201	0.7082	0.6368	0.6368	0.6360	0.6360
SG	Coll	0.7163	0.7038	0.7102	0.7055	0.6365	0.6365	0.6363	0.6363
	CollParser	0.7120	0.7198	0.7233	0.7055	0.6362	0.6364	0.6362	0.6356
	LSC	0.7052	0.7050	0.7110	0.7053	0.6348	0.6348	0.6344	0.6352
kAEC	Coll	0.7128	0.7027	0.6992	0.7004	0.6358	0.6359	0.6347	0.6347
	CollParser	0.7118	0.7023	0.7079	0.6969	0.6406	0.6372	0.6356	0.6357

Disambiguation results in terms of accuracy using the NLM WSD set. Several k-NN values are used in combination with the semantic group (SG) and the automatic extracted corpus (kAEC) methods. The disambiguation methods AEC and MRD are compared.

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ISSN: 1471-2105

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