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

arXiv:2402.12372v1 Announce Type: new
Abstract: With the exponential growth of the life science literature, biomedical text mining (BTM) has become an essential technology for accelerating the extraction of insights from publications. Identifying named entities (e.g., diseases, drugs, or genes) in texts and their linkage to reference knowledge bases are crucial steps in BTM pipelines to enable information aggregation from different documents. However, tools for these two steps are rarely applied in the same context in which they were developed. Instead, …

abstract arxiv become biomedical cs.cl diseases drugs evaluation extraction genes growth insights knowledge life literature mining normalization publications recognition reference science technology text tools type