activity
20172023
most citedML-Net: multi-label classification of biomedical texts with deep neural networks

139 citations · 765 across the 31 of their papers we have counts for

collaborators
Showing 2023 · cs.CLShow all

5 papers · 2 filters

cs.CL2023

Demonstration-based learning for few-shot biomedical named entity recognition under machine reading comprehension

Leilei Su, Jian Chen, Yifan Peng +1

Although deep learning techniques have shown significant achievements, they frequently depend on extensive amounts of hand-labeled data and tend to perform inadequately in few-shot…

cs.CL2023★ 1 cited

Classifying Crime Types using Judgment Documents from Social Media

Haoxuan Xu, Zeyu He, Mengfan Shen +3

The task of determining crime types based on criminal behavior facts has become a very important and meaningful task in social science. But the problem facing the field now is that…

cs.CL2023

Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports

Qingqing Zhu, Tejas Sudharshan Mathai, Pritam Mukherjee +3

Despite the reduction in turn-around times in radiology reports with the use of speech recognition software, persistent communication errors can significantly impact the interpreta…

cs.CL2023

Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses

Liyan Tang, Yifan Peng, Yanshan Wang +3

A human decision-maker benefits the most from an AI assistant that corrects for their biases. For problems such as generating interpretation of a radiology report given findings, a…

cs.CL2023★ 9 cited

FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization

Qianqian Xie, Jiayu Zhou, Yifan Peng +1

Automatic radiology report summarization is a crucial clinical task, whose key challenge is to maintain factual accuracy between produced summaries and ground truth radiology findi…