The past decade has witnessed an explosion of textual information in the biomedical field.
Biomedical texts provide a basis for healthcare delivery, knowledge discovery, and decision …

Clinical named entity recognition (CNER) is a fundamental step for many clinical Natural
Language Processing (NLP) systems, which aims to recognize and classify clinical entities …

Named entity recognition (NER) is a fundamental task in Chinese natural language
processing (NLP) tasks. Recently, Chinese clinical NER has also attracted continuous …

Fault diagnosis driven by the single signal has been widely used in motor fault diagnosis,
but it can not meet the diagnostic requirements of complex motor system. In this study, a …

The task of electronic medical record named entity recognition (NER) refers to automatically
identify all kinds of named entities in the medical record text. Chinese clinical NER remains …

Natural hazard named entity recognition is a technique used to recognize natural hazard
entities from a large number of texts. The method of natural hazard named entity recognition …

Medical named entity recognition (MNER) is a fundamental component of understanding the
unstructured medical texts in electronic health records, and it has received widespread …

Chinese named entity recognition is a crucial initial step of information extraction in the field
of agricultural diseases and pests. This step aims to identify named entities related to …

Medication combination prediction (MCP) can provide assistance for experts in the more
thorough comprehension of complex mechanisms behind health and disease. Many recent …

The engineering geology report serves as a comprehensive portrayal of the geological
conditions and information within a surveyed region, making it highly valuable for extracting …