Applying prompt tuning and POS tagger features to health mention classification yields small F1 improvements over plain fine-tuning, but the paper does not compare with actual state-of-the-art systems.
Improving health mention classification through emphasising literal mean- ings: A study towards diversity and generalisation for public health surveillance
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Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning
Applying prompt tuning and POS tagger features to health mention classification yields small F1 improvements over plain fine-tuning, but the paper does not compare with actual state-of-the-art systems.