AAbAAC: An Annotated Corpus for Autoimmunity Information Extraction
Researchers have developed AAbAAC, a new annotated corpus specifically for autoimmunity information extraction. This corpus, containing 115 PubMed abstracts, focuses on entities like autoimmune diseases, autoantibodies, molecular targets, and clinical signs. The AAbAAC corpus has been used to evaluate and fine-tune Named Entity Recognition (NER) models, demonstrating significant performance improvements in the specialized domain of autoimmunity. AI