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. Dulny, A. Hotho, и A. Krause. Machine Learning and Knowledge Discovery in Databases: Research Track, стр. 438--455. Cham, Springer Nature Switzerland, (2023)
A. Dulny, A. Hotho, и A. Krause. Machine Learning and Knowledge Discovery in Databases: Research Track, стр. 438--455. Cham, Springer Nature Switzerland, (2023)
A. Dulny, A. Hotho, и A. Krause. Machine Learning and Knowledge Discovery in Databases: Research Track, стр. 438--455. Cham, Springer Nature Switzerland, (2023)