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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.