Fig. 2.

Impact of transfer learning on the F1-scores. Baseline corresponds to training the model only with the target dataset, and transfer learning corresponds to training on the source dataset followed by training on the target dataset. The number of training examples used in the target training set is reported as a percent of the overall GSC size (e.g. for a GSC of 100 documents, a target train set size of 60% corresponds to 60 documents). Error bars represent the standard deviation (SD) for n = 3 trials. If an error bar is not shown, it was smaller than the size of the data point symbol. (a-d) Impact of transfer learning on the F1-scores of four select copora