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Table 9 MSH 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

0.8370

0.8371

0.8371

0.8377

0.8071

0.8070

0.8071

0.8071

SG

Coll

0.8173

0.8214

0.8268

0.8327

0.8082

0.8077

0.8073

0.8071

 

CollParser

0.8284

0.8271

0.8337

0.8355

0.8076

0.8071

0.8071

0.8071

 

LSC

0.8391

0.8413

0.8416

0.8400

0.8072

0.8072

0.8072

0.8071

kAEC

Coll

0.8252

0.8331

0.8385

0.8407

0.8104

0.8104

0.8100

0.8092

 

CollParser

0.8298

0.8337

0.8396

0.8409

0.8098

0.8093

0.8090

0.8090

  1. Disambiguation results in terms of accuracy using the MSH 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.