In the low-data setup, tri-training with disagreement works best, reaching an overall average accuracy of 89.70, closely followed by classic tritraining, and significantly outperforming the baseline on 4/5 domains.
overall we emphasize the importance of comparing neural approaches to strong baselines and reporting results across several runs.