Biomedical research yields vast information, much of which is only accessible through the
literature. Consequently, literature search is crucial for healthcare and biomedicine. Recent …

Motivation Information retrieval (IR) is essential in biomedical knowledge acquisition and
clinical decision support. While recent progress has shown that language model encoders …

Since the outbreak of the current pandemic in 2020, there has been a rapid growth of
published articles on COVID-19 and SARS-CoV-2, with about 10 000 new articles added …

Sentence embeddings have become an essential part of today's natural language
processing (NLP) systems, especially together advanced deep learning methods. Although …

The task of fact-checking deals with assessing the veracity of factual claims based on
credible evidence and background knowledge. In particular, scientific fact-checking is the …

Objective This study aims to review the recent advances in community challenges for
biomedical text mining in China. Methods We collected information of evaluation tasks …

A global protein interactome ensures the maintenance of regulatory, signaling and structural
processes in cells, but at the same time, aberrations in the repertoire of protein–protein …

A massive number of biological entities, such as genes and mutations, are mentioned in the
biomedical literature. The capturing of the semantic relatedness of biological entities is vital …

OpCitance contains all the sentences from 2 million PubMed Central open-access (PMCOA)
articles, with 137 million inline citations annotated (ie, the “citation contexts”). Parsing out the …

Automated generation of knowledge graphs that accurately capture published information
can help with knowledge organization and access, which have the potential to accelerate …