2023
ACL
ACL 2023
clulab at MEDIQA-Chat 2023: Summarization and classification of medical dialogues
Abstract
AbstractClinical Natural Language Processing has been an increasingly popular research area in the NLP community. With the rise of large language models (LLMs) and their impressive abilities in NLP tasks, it is crucial to pay attention to their clinical applications. Sequence to sequence generative approaches with LLMs have been widely used in recent years. To be a part of the research in clinical NLP with recent advances in the field, we participated in task A of MEDIQA-Chat at ACL-ClinicalNLP Workshop 2023. In this paper, we explain our methods and findings as well as our comments on our results and limitations.
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Keyword Pioneer
— medical dialogue
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Speech & Audio
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Interdisciplinary Bridge
— Healthcare & Medicine and Natural Language Processing
Authors
Topics
Natural Language Processing > Generation > Dialogue Systems
Natural Language Processing > Generation > Summarization
Natural Language Processing > Generation > Text Generation
Natural Language Processing > Applications > Text Classification
Healthcare & Medicine > Clinical > Clinical NLP
Natural Language Processing > Applications > Summarization