damo_nlp at MEDIQA 2021: Knowledge-based Preprocessing and Coverage-oriented Reranking for Medical Question Summarization
Yifan He, Mosha Chen, Songfang Huang · 2021
Medical question summarization is an important but difficult task, where the input is often complex and erroneous while annotated data is expensive to acquire.We report our participation in the MEDIQA 2021 question summarization task in which we are required to address these challenges.We start from pre-trained conditional generative language models, use knowledge bases to help correct input errors, and rerank single system outputs to boost coverage.Experimental results show significant improvement in stringbased metrics.Hi, Please can you help -I am writing from South Africa.My daughter suffers with acute folliculitus, and has been since the age of 13.She is now 20 and is in so much distress as nothing seems to alleviate the itching and soreness...I am writing to you for any help you could give me to try and assist her.Could you recommend a specialist and someone who could help us with research?Please could you point us in the right direction?I am happy to send through her lab tests -please let me know.Thanks How can we find a specialist or clinical trial for chronic folliculitis?