The EU-ADR corpus: annotated drugs, diseases, targets, and their relationships

J Biomed Inform. 2012 Oct;45(5):879-84. doi: 10.1016/j.jbi.2012.04.004. Epub 2012 Apr 25.


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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Data Mining / methods*
  • Databases, Factual*
  • Documentation
  • Drug Therapy / classification
  • Humans
  • Internet
  • Medical Informatics / methods*
  • Pharmaceutical Preparations / classification
  • User-Computer Interface


  • Pharmaceutical Preparations