NLM-Chem-BC7: manually annotated full-text resources for chemical entity annotation and indexing in biomedical articles.

ABSTRACT: The automatic recognition of chemical names and their corresponding database identifiers in biomedical text is an important first step for many downstream text-mining applications. The task is even more challenging when considering the identification of these entities in the article's full text and, furthermore, the identification of candidate substances for that article's metadata [Medical Subject Heading (MeSH) article indexing]. The National Library of Medicine (NLM)-Chem track at BioCreative VII aimed to foster the development of algorithms that can predict with high quality the chemical entities in the biomedical literature and further identify the chemical substances that are candidates for article indexing. As a result of this challenge, the NLM-Chem track produced two comprehensive

SUBMITTER: Islamaj R 

PROVIDER: S-EPMC9716560 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature