There is a pressing need to generate tools for finding mentions of species, pathogens, or
food from medical texts. To promote the development of such tools we organized the …

One of the biomedical entity types of relevance for medicine or biosciences are chemical
compounds and drugs. The correct detection these entities is critical for other text mining …

There is an increasing interest in exploiting the content of electronic health records by
means of natural language processing and text-mining technologies, as they can result in …

There is a pressing need for advanced semantic annotation technologies of medical content,
in particular medical publications, clinical trials and clinical records. Search engines and …

Recognition of named entities present in text is an important step towards information
extraction and natural language understanding. This work presents a named entity …

Patients experience various symptoms when they haveeither acute or chronic diseases or
undergo some treatments for diseases. Symptoms are often indicators of the severity of the …

For sensitive text data to be shared among NLP researchers and practitioners, shared
documents need to comply with data protection and privacy laws. There is hence a growing …

Background Clinical trial protocols are the foundation for advancing medical sciences,
however, the extraction of accurate and meaningful information from the original clinical …

Background The recognition of pharmacological substances, compounds and proteins is
essential for biomedical relation extraction, knowledge graph construction, drug discovery …

Augmented Reality (AR) is an innovation that empowers us in coordinating computerized
data into the client's real-world space. It offers an advanced and progressive methodology …