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20212024
most citedPULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models

5 citations · 17 across the 6 of their papers we have counts for

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2 papers · 1 filter

cs.CL2022★ 3 cited

Exploring the Value of Pre-trained Language Models for Clinical Named Entity Recognition

Samuel Belkadi, Lifeng Han, Yuping Wu +1

The practice of fine-tuning Pre-trained Language Models (PLMs) from general or domain-specific data to a specific task with limited resources, has gained popularity within the fiel…

cs.CL2022

EDU-level Extractive Summarization with Varying Summary Lengths

Yuping Wu, Ching-Hsun Tseng, Jiayu Shang +3

Extractive models usually formulate text summarization as extracting fixed top- salient sentences from the document as a summary. Few works exploited extracting finer-grained El…