Want to Identify, Extract and Normalize Adverse Drug Reactions in Tweets? Use RoBERTa
Table 2: Task 3 - ADR Extraction and Normalization results on test data. Here NER represents ADR Extraction and Norm represents ADR Normalization.
['Model', 'Evaluation', 'Type', 'Precision', 'Recall', 'F1']
From the table we observe that, a) RoBERTa based model achieved relaxed F1 score of 70.1% in ADR extraction which is 13.7% more than the relaxed average score b)Multi-task learning RoBERTa based model achieved relaxed F1 score of 35% in NER+Norm which is 5.8% more than the relaxed average score.