 Comparison with other models at in-dataset and cross-dataset experiments  The X-GENRE model was compared with `xlm-roberta-base` classifiers, fine-tuned on each of genre datasets separately, using the X-GENRE schema (see experiments in https://github.com/TajaKuzman/Genre-Datasets-Comparison).  At the in-dataset experiments (trained and tested on splits of the same dataset), it outperforms all datasets, except the FTD dataset which has a smaller number of X-GENRE labels.  | Trained on   |   Micro F1 |   Macro F1 | |:-------------|-----------:|-----------:| | FTD          |      0.843 |      0.851 | | X-GENRE      |      0.797 |      0.794 | | CORE         |      0.778 |      0.627 | | GINCO     |      0.754 |      0.75  |  When applied on test splits of each of the datasets, the classifier performs well:  | Trained on   | Tested on   |   Micro F1 |   Macro F1 | |:-------------|:------------|-----------:|-----------:| | X-GENRE      | CORE        |      0.837 |      0.859 | | X-GENRE      | FTD         |      0.804 |      0.809 | | X-GENRE      | X-GENRE     |      0.797 |      0.794 | | X-GENRE      | X-GENRE-dev |      0.784 |      0.784 | | X-GENRE      | GINCO    |      0.749 |      0.758 |  The classifier was compared with other classifiers on 2 additional genre datasets (to which the X-GENRE schema was mapped): - EN-GINCO: a sample of the English enTenTen20 corpus - [FinCORE](https://github.com/TurkuNLP/FinCORE): Finnish CORE corpus  | Trained on   | Tested on   |   Micro F1 |   Macro F1 | |:-------------|:------------|-----------:|-----------:| | X-GENRE      | EN-GINCO    |      0.688 |      0.691 | | X-GENRE      | FinCORE    |      0.674 |      0.581 | | GINCO     | EN-GINCO    |      0.632 |      0.502 | | FTD          | EN-GINCO    |      0.574 |      0.475 | | CORE         | EN-GINCO    |      0.485 |      0.422 |  At cross-dataset and cross-lingual experiments, it was shown that the X-GENRE classifier, trained on all three datasets, outperforms classifiers that were trained on just one of the datasets.  