Care4Lang at MEDIQA-Chat 2023: Fine-tuning Language Models for Classifying and Summarizing Clinical Dialogues
Amal Alqahtani, Rana Salama, Mona Diab, Abdou S. Youssef · 2023
Summarizing medical conversations is one of the tasks proposed by MEDIQA-Chat to promote research on automatic clinical note generation from doctor-patient conversations.In this paper, we present our submission to this task using fine-tuned language models, including T5, BART and BioGPT models.The finetuned models are evaluated using ensemble metrics including ROUGE, BERTScore and BLEURT.Among the fine-tuned models, Flan-T5 achieved the highest aggregated score for dialogue summarization.