Abstract PubTator 3.0 (https://www. ncbi. nlm. nih. gov/research/pubtator3/) is a biomedical
literature resource using state-of-the-art AI techniques to offer semantic and relation …

The identification of medical concepts from clinical narratives has a large interest in the
biomedical scientific community due to its importance in treatment improvements or drug …

Expert curation is essential to capture knowledge of enzyme functions from the scientific
literature in FAIR open knowledgebases but cannot keep pace with the rate of new …

Biomedical relation extraction from scientific publications is a key task in biomedical natural
language processing (NLP) and can facilitate the creation of large knowledge bases, enable …

Motivation Biomedical entity linking (BEL) is the task of grounding entity mentions to a given
knowledge base (KB). Recently, neural name-based methods, system identifying the most …

Biomedical relation extraction is an ongoing challenge within the natural language
processing community. Its application is important for understanding scientific biomedical …

Precisely recognizing DNA-binding proteins (DBPs) from sequences is crucial for a profound
comprehension of the mechanisms governing protein-DNA interactions in various cellular …

The accelerating growth of scientific literature overwhelms our capacity to manually distil
complex phenomena like molecular networks linked to diseases. Moreover, biases in …

To the Editor: We read with interest the recent study by Zara Wermers and colleagues1 that
analyzed the utility of different databases and literature mining tools for the classification of …

Abstract Objectives The National Library of Medicine (NLM) currently indexes close to a
million articles each year pertaining to more than 5300 medicine and life sciences journals …