PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts
Table 3: F1-scores on the test set of several baselines. The presented results for the ANN-based models are the F1-scores on the test set of the run with the highest F1-score on the validation set.
['[BOLD] Model', 'PubMed 20k', 'PubMed 200k']
As expected, LR performs the worst, followed by the Forward ANN. The bi-ANN outperforms the CRF, but as the data set becomes larger the difference of performances diminishes.