Applying BioBERT to Extract Germline Gene-Disease Associations for Building a Knowledge Graph from the Biomedical Literature

arXiv:2309.13061v3 Announce Type: replace
Abstract: Published biomedical information has and continues to rapidly increase. The recent advancements in Natural Language Processing (NLP), have generated considerable interest in automating the extraction, normalization, and representation of biomedical knowledge about entities such as genes and diseases. Our study analyzes germline abstracts in the construction of knowledge graphs of the of the immense work that has been done in this area for genes and diseases. This paper presents SimpleGermKG, an automatic knowledge graph construction …

abstract arxiv biomedical building cs.cl cs.cy disease diseases extract extraction gene generated genes graph information knowledge knowledge graph language language processing literature natural natural language natural language processing nlp normalization processing representation type