Abstract Domain-specific knowledge graph is an effective way to represent complex domain
knowledge in a structured format and has shown great success in real-world applications …

Background Hepatocellular carcinoma is one of the most general malignant neoplasms in
adults with high mortality. Mining relative medical knowledge from rapidly growing text data …

Extracting fine-grained relations between entities of interest is of great importance to
information extraction and large-scale knowledge graph construction. Conventional …

Twenty-one years ago, the term 'electronic publishing'promised all manner of potential that
the Web and network technologies could bring to scholarly communication, scientific …

Assistimos a uma sobrecarga de dados textuais: uma quantidade avassaladora de
informação é registada em texto de linguagem natural e armazenada em formato digital …

Entity recognition and disambiguation (ERD) for the biomedical domain are notoriously
difficult problems due to the variety of entities and their often long names in many variations …

Mental disorders belong to the main contributors of the contemporary burden of disease. As
such, they are one of the research priorities in epidemiology with a focus on understanding …

Big data has presented us with unprecedented opportunities to model and understand
massive visual and textual contents generated by the explosion of a wide variety of digital …

Scientific literature is mainly available in the form of published articles, which are essential to
the sharing of scientific knowledge between researchers. However, the rate of publication of …

The number of published findings in biomedicine increases continually. At the same time,
specifics of the domain's terminology complicates the task of relevant publications retrieval …