RegulaTome: a corpus of typed, directed, and signed relations between biomedical entities in the scientific literature.

ABSTRACT: In the field of biomedical text mining, the ability to extract relations from the literature is crucial for advancing both theoretical research and practical applications. There is a notable shortage of corpora designed to enhance the extraction of multiple types of relations, particularly focusing on proteins and protein-containing entities such as complexes and families, as well as chemicals. In this work, we present RegulaTome, a corpus that overcomes the limitations of several existing biomedical relation extraction (RE) corpora, many of which concentrate on single-type relations at the sentence level. RegulaTome stands out by offering 16 961 relations annotated in >2500 documents, making it the most extensive dataset of its kind to date. This corpus is specifically designed to cover a

SUBMITTER: Nastou K 

PROVIDER: S-EPMC11394941 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature