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Article

Collaborative text-annotation resource for disease-centered relation extraction from biomedical text.

Journal of biomedical informatics - 1 Oct 2009

Cano C, Monaghan T, Blanco A, Wall D P, Peshkin L

Abstract excerpt

Agglomerating results from studies of individual biological components has shown the potential to produce biomedical discovery and the promise of therapeutic development. Such knowledge integration could be tremendously facilitated by automated text mining for relation extraction in the biomedical literature. Relation extraction systems cannot be developed without substantial datasets annotated with ground truth...

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Identifiers

PMID: 19232400
DOI: 10.1016/j.jbi.2009.02.001
PMCID: PMC2757509

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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