30 citations · 77 across the 20 of their papers we have counts for
5 papers · 1 filter
Systematic Comparative Analysis of Large Pretrained Language Models on Contextualized Medication Event Extraction
Tariq Abdul-Quddoos, Xishuang Dong, Lijun Qian
Attention-based models have become the leading approach in modeling medical language for Natural Language Processing (NLP) in clinical notes. These models outperform traditional te…
Ensemble BERT for Medication Event Classification on Electronic Health Records (EHRs)
Shouvon Sarker, Xishuang Dong, Lijun Qian
Identification of key variables such as medications, diseases, relations from health records and clinical notes has a wide range of applications in the clinical domain. n2c2 2022 p…
Medical Data Augmentation via ChatGPT: A Case Study on Medication Identification and Medication Event Classification
Shouvon Sarker, Lijun Qian, Xishuang Dong
The identification of key factors such as medications, diseases, and relationships within electronic health records and clinical notes has a wide range of applications in the clini…
Two-path Deep Semi-supervised Learning for Timely Fake News Detection
Xishuang Dong, Uboho Victor, Lijun Qian
News in social media such as Twitter has been generated in high volume and speed. However, very few of them are labeled (as fake or true news) by professionals in near real time. I…
Deep Two-path Semi-supervised Learning for Fake News Detection
Xishuang Dong, Uboho Victor, Shanta Chowdhury +1
News in social media such as Twitter has been generated in high volume and speed. However, very few of them can be labeled (as fake or true news) in a short time. In order to achie…