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.
J. Bojanowski. University of Twente Faculty of Geo-Information and Earth Observation (ITC), P.O. Box 217, 7500 AE Enschede, The Netherlands, (January 2014)