Table 10.
Results on clinical + medical evaluation set
| 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 |
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.