HunFlair2 in a cross-corpus evaluation of biomedical named entity recognition and normalization tools.

Motivation: With the exponential growth of the life sciences literature, biomedical text mining (BTM) has become an essential technology for accelerating the extraction of insights from publications. The identification of entities in texts, such as diseases or genes, and their normalization, i.e.

HunFlair: an easy-to-use tool for state-of-the-art biomedical named entity recognition.

Summary: Named entity recognition (NER) is an important step in biomedical information extraction pipelines. Tools for NER should be easy to use, cover multiple entity types, be highly accurate and be robust toward variations in text genre and style. We present HunFlair, a NER tagger fulfilling these requirements.