48 citations · 128 across the 12 of their papers we have counts for
6 papers · 1 filter
A Scoping Review of Publicly Available Language Tasks in Clinical Natural Language Processing
Yanjun Gao, Dmitriy Dligach, Leslie Christensen +7
Objective: to provide a scoping review of papers on clinical natural language processing (NLP) tasks that use publicly available electronic health record data from a cohort of pati…
Extracting Radiological Findings With Normalized Anatomical Information Using a Span-Based BERT Relation Extraction Model
Kevin Lybarger, Aashka Damani, Martin Gunn +2
Medical imaging is critical to the diagnosis and treatment of numerous medical problems, including many forms of cancer. Medical imaging reports distill the findings and observatio…
Performance of Automatic De-identification Across Different Note Types
Nicholas Dobbins, David Wayne, Kahyun Lee +2
Free-text clinical notes detail all aspects of patient care and have great potential to facilitate quality improvement and assurance initiatives as well as advance clinical researc…
A Context-Enhanced De-identification System
Kahyun Lee, Mehmet Kayaalp, Sam Henry +1
Many modern entity recognition systems, including the current state-of-the-art de-identification systems, are based on bidirectional long short-term memory (biLSTM) units augmented…
Transfer Learning Approach for Arabic Offensive Language Detection System -- BERT-Based Model
Fatemah Husain, Ozlem Uzuner
Developing a system to detect online offensive language is very important to the health and the security of online users. Studies have shown that cyberhate, online harassment and o…
Exploratory Arabic Offensive Language Dataset Analysis
Fatemah Husain, Ozlem Uzuner
This paper adding more insights towards resources and datasets used in Arabic offensive language research. The main goal of this paper is to guide researchers in Arabic offensive l…