most citedPULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models

5 citations · 5 across the 4 of their papers we have counts for

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cs.CL2023★ 5 cited

PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models

Hao Li, Yuping Wu, Viktor Schlegel +7

Medical progress notes play a crucial role in documenting a patient's hospital journey, including his or her condition, treatment plan, and any updates for healthcare providers. Au…

cs.CL2023

Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation

Hao Li, Viktor Schlegel, Riza Batista-Navarro +1

Argument summarisation is a promising but currently under-explored field. Recent work has aimed to provide textual summaries in the form of concise and salient short texts, i.e., k…