Electronic Health Records (EHRs) play an important role in the healthcare system. However,
their complexity and vast volume pose significant challenges to data interpretation and …

The rapid development of AI technology in recent years has led to its widespread use in
daily life, where it plays an increasingly important role. In healthcare, AI has been integrated …

Background: Named entity recognition (NER) models are essential for extracting structured
information from unstructured medical texts by identifying entities such as diseases …

Many problems related to natural language processing are solved by neural networks and
big data. Researchers have previously focused on single-task supervised goals with limited …

In recent years, due to the rapid development of social media, there have been many
propaganda texts and propaganda activities on the internet. While previous studies have …

The rapid growth of electronic health records (EHRs) has led to unprecedented biomedical
data. Clinician access to the latest patient information can improve the quality of healthcare …

Chinese patent medicine (CPM) is a typical type of traditional Chinese medicine (TCM)
preparation that uses Chinese herbs as raw materials and is an important means of treating …

Objective Extracting named entities from clinical free-text presents unique challenges,
particularly when dealing with discontinuous entities—mentions that are separated by …

Named entity recognition (NER) is a fundamental task in Natural Language Processing
(NLP). During the training process, NER models suffer from over-confidence, and especially …

Performance disparities exist in Named Entity Recognition (NER) systems across languages
due to variations in available human-annotated data. We participated in the MultiDrug …