Motivation Biomedical machine reading comprehension (biomedical-MRC) aims to
comprehend complex biomedical narratives and assist healthcare professionals in retrieving …

Biomedical question-answering systems remain popular for biomedical experts interacting
with the literature to answer their medical questions. However, these systems are difficult to …

Patient narratives on social networks contain large amounts of objective information, such as
the descriptions of examinations and interventions. Sentiment analysis (SA) models are …

Biomedical question answering (QA) represents a growing concern among industry and
academia due to the crucial impact of biomedical information. When map** and ranking …

Medical question answer (QA) assistants respond to lay users' health-related queries by
synthesizing information from multiple sources using natural language processing and …

Abstract Document-level Relation Extraction (DocRE) aims to identify semantic relations
among multiple entity pairs within a document. Most of the previous DocRE methods take …

We propose a method to automate orthodontic diagnosis with natural language processing.
It is worthwhile to assist dentists with such technology to prevent errors by inexperienced …