İbrahim Burak Özyurt

The paper develops pipelines to extract key resource tables from biomedical PDFs, improving their findability and enabling automated resource extraction tools.

The paper describes the development of SCKAN, a knowledgebase of autonomic nervous system connectivity, and its use in generating anatomical and functional maps.

The paper evaluates Bio-ELECTRA, a small language model for biomedical text mining, showing comparable performance to BERT on some tasks but inferior performance on named entity recognition.

The paper introduces DATS, a metadata model for dataset discoverability, and describes its implementation for the DataMed data discovery index.