A number of resources have been compiled within the context of the MuchMore project. These include: a bilingual, parallel medical corpus; corresponding queries and relevance assessments; evaluation sets of disambiguated terms for GermaNet and UMLS; an evaluation list for morphological decomposition of medical terms.
Y. Song, L. Zhang, und C. Giles. CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge mining, Seite 93--102. New York, NY, USA, ACM, (2008)