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.
A. McCallum, K. Nigam, и L. Ungar. KDD '00: Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, стр. 169--178. New York, NY, USA, ACM Press, (2000)