Table 6.
Feature combination results
| SVM-perf | Ada over | |||||
|---|---|---|---|---|---|---|
| Feature combination | Prec | Rec | F1 | Prec | Rec | F1 |
| Unigram | 0.395 | 0.654 | 0.492 | 0.528 | 0.425 | 0.471 |
| Unigram+CUI | 0.409 | 0.657 | 0.504* | 0.529 | 0.437 | 0.479* |
| Unigram+Meta | 0.387 | 0.672 | 0.491 | 0.550 | 0.405 | 0.466 |
| Unigram+NP | 0.382 | 0.701 | 0.495* | 0.535 | 0.424 | 0.473 |
| Unigram+Taxo | 0.403 | 0.660 | 0.500* | 0.531 | 0.432 | 0.477 |
| Unigram+mti | 0.448 | 0.679 | 0.540* | 0.586 | 0.477 | 0.526* |
| Unigram+mmi+prc | 0.445 | 0.677 | 0.537* | 0.583 | 0.474 | 0.523* |
| Unigram+all | 0.452 | 0.689 | 0.546* | 0.600 | 0.476 | 0.531* |
| Feature combination | Prec | Rec | F1 | Prec | Rec | F1 |
| TIAB+bigram | 0.408 | 0.685 | 0.512 | 0.556 | 0.421 | 0.479 |
| TIAB+bigram+CUI | 0.439 | 0.688 | 0.536 | 0.556 | 0.435 | 0.488* |
| TIAB+bigram+Meta | 0.408 | 0.689 | 0.513 | 0.581 | 0.406 | 0.478 |
| TIAB+bigram+NP | 0.417 | 0.686 | 0.518* | 0.560 | 0.422 | 0.481 |
| TIAB+bigram+Taxo | 0.418 | 0.679 | 0.518* | 0.554 | 0.412 | 0.472 |
| TIAB+bigram+mti | 0.451 | 0.701 | 0.549* | 0.604 | 0.475 | 0.532* |
| TIAB+bigram+mmi+prc | 0.448 | 0.699 | 0.546* | 0.607 | 0.466 | 0.528* |
| TIAB+bigram+all | 0.470 | 0.682 | 0.557* | 0.629 | 0.380 | 0.474 |
Results are reported in Precision (Prec), Recall (Rec) and F-measure (F1). Unigrams and bigrams with feature source (either title or abstract, TIAB+bigram) are combined with concepts identifiers (+CUI), meta-data (+Meta), noun phrases (+NP), hypernyms (+Taxo), MTI predictions (+mti), MTI components (mti+prc) and all the features (+all). For each column, results significantly better (p >0.05) than the ones obtained with unigram or TIAB+bigram are indicated with *.