activity
20182022
most citedAn Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining

12 citations · 30 across the 10 of their papers we have counts for

collaborators

17 papers

cs.LG2022

Comprehensively identifying Long Covid articles with human-in-the-loop machine learning

Robert Leaman, Rezarta Islamaj, Alexis Allot +3

A significant percentage of COVID-19 survivors experience ongoing multisystemic symptoms that often affect daily living, a condition known as Long Covid or post-acute-sequelae of S…

cs.DL2022

LitCovid in 2022: an information resource for the COVID-19 literature

Qingyu Chen, Alexis Allot, Robert Leaman +5

LitCovid (https://www.ncbi.nlm.nih.gov/research/coronavirus/), first launched in February 2020, is a first-of-its-kind literature hub for tracking up-to-date published research on…

cs.CL20223 cited

LitMC-BERT: transformer-based multi-label classification of biomedical literature with an application on COVID-19 literature curation

Qingyu Chen, Jingcheng Du, Alexis Allot +1

The rapid growth of biomedical literature poses a significant challenge for curation and interpretation. This has become more evident during the COVID-19 pandemic. LitCovid, a lite…

cs.CL20221 cited

A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis

Qiyuan An, Ruijiang Li, Lin Gu +5

Unsupervised domain adaptation (UDA) generally aligns the unlabeled target domain data to the distribution of the source domain to mitigate the distribution shift problem. The stan…

cs.CV2020

Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration

Qingyu Chen, Tiarnan D. L. Keenan, Alexis Allot +14

Objective Reticular pseudodrusen (RPD), a key feature of age-related macular degeneration (AMD), are poorly detected by human experts on standard color fundus photography (CFP) and…

cs.CL2020

Artificial Intelligence (AI) in Action: Addressing the COVID-19 Pandemic with Natural Language Processing (NLP)

Qingyu Chen, Robert Leaman, Alexis Allot +4

The COVID-19 pandemic has had a significant impact on society, both because of the serious health effects of COVID-19 and because of public health measures implemented to slow its…