Background: Clinical narratives represent the main form of communication within health
care, providing a personalized account of patient history and assessments, and offering rich …

The importance of incorporating Natural Language Processing (NLP) methods in clinical
informatics research has been increasingly recognized over the past years, and has led to …

Inspired by the success of the General Language Understanding Evaluation benchmark, we
introduce the Biomedical Language Understanding Evaluation (BLUE) benchmark to …

Objective Neural network–based representations (“embeddings”) have dramatically
advanced natural language processing (NLP) tasks, including clinical NLP tasks such as …

Objective The goal of this study is to explore transformer-based models (eg, Bidirectional
Encoder Representations from Transformers [BERT]) for clinical concept extraction and …

Recent advancements in pretraining strategies in NLP have shown a significant
improvement in the performance of models on various text mining tasks. We apply 'replaced …

Research on overlapped and discontinuous named entity recognition (NER) has received
increasing attention. The majority of previous work focuses on either overlapped or …

Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …

Background Entity recognition is one of the most primary steps for text analysis and has long
attracted considerable attention from researchers. In the clinical domain, various types of …

Negative and uncertain medical findings are frequent in radiology reports, but discriminating
them from positive findings remains challenging for information extraction. Here, we propose …