Table 2 Evaluation result for the BioNLP-NLPBA 2004 task using an interactive online learning approach with different sizes of training dataset (in number of sentences) measured in precision, recall and F-measure on the fixed development dataset
From: An adaptive annotation approach for biomedical entity and relation recognition
Sentence | Recall | Precision | F-score |
|---|---|---|---|
40 | 27.27 | 39.05 | 32.11 |
120 | 37.74 | 44.01 | 40.63 |
280 | 46.68 | 51.39 | 48.92 |
600 | 53.23 | 54.89 | 54.05 |
1240 | 57.83 | 57.74 | 57.78 |
2520 | 59.35 | 61.26 | 60.29 |
5080 | 62.32 | 64.03 | 63.16 |
10,200 | 66.43 | 67.50 | 66.96 |
18,555 | 69.48 | 69.16 | 69.32 |