The EU-ADR corpus: annotated drugs, diseases, targets, and their relationships.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 22554700.
- Also identified by DOI 10.1016/j.jbi.2012.04.004.
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Abstract
Corpora with specific entities and relationships annotated are essential to train and evaluate text-mining systems that are developed to extract specific structured information from a large corpus. In this paper we describe an approach where a named-entity recognition system produces a first annotation and annotators revise this annotation using a web-based interface. The agreement figures achieved show that the inter-annotator agreement is much better than the agreement with the system provided annotations. The corpus has been annotated for drugs, disorders, genes and their inter-relationships. For each of the drug-disorder, drug-target, and target-disorder relations three experts have annotated a set of 100 abstracts. These annotated relationships will be used to train and evaluate text-mining software to capture these relationships in texts.
Medical subject headings
- Data Mining
- Databases, Factual
- Medical Informatics