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Table 10 Results on clinical + medical evaluation set

From: Synonym extraction and abbreviation expansion with ensembles of semantic spaces

Evaluation configuration Abbr →Exp Exp →Abbr Syn
 Clinical  Medical  Clinical  Medical  Clinical  Medical
RI_4 RI_4 RI_4 RI_8 RI_20 RI_20
RP_4_sw RP_4_sw RP_4_sw RP_8_sw RP_4_sw RP_2_sw
SUM, False SUM, False SUM, False
P R P R P R
Clinical space 0.03 0.17 0.03 0.19 0.05 0.29
Medical space 0.01 0.06 0.01 0.08 0.03 0.18
Conjoint corpus space 0.03 0.19 0.01 0.08 0.05 0.30
Clinical ensemble 0.04 0.24 0.03 0.19 0.06 0.34
Medical ensemble 0.02 0.11 0.01 0.11 0.05 0.33
Conjoint corpus ensemble 0.03 0.19 0.02 0.14 0.07 0.40
Disjoint corpora ensemble 0.05 0.30 0.03 0.19 0.08 0.47
+Post-processing (top 10) 0.07 0.39 0.06 0.33 0.08 0.47
+Dynamic cut-off (top ≤ 10) 0.28 0.39 0.31 0.33 0.08 0.45
  1. Results (P = weighted precision, R = recall, top ten) of the best semantic spaces and ensembles on the three tasks. The results are based on the clinical + medical evaluation set and are grouped according to the number of semantic spaces employed: one, two or four. The disjoint corpus ensemble is performed with and without post-processing. A dynamic cut-off allows less than ten terms to be suggested in an attempt to improve precision. Results for tests of statistical significance are shown in Table 11.