Developing Resources for Swedish Bio-Medical Text Mining

Collection and annotation of corpora in specialized fields, such as medicine, and particularly for lesser-spoken languages, than for instance English, is an important enterprise for the continuous development and growth of language technology research, for resource development and for the implementation of practical applications for these languages. In this paper, we describe our ongoing efforts to build a large Swedish medical corpus, the MEDLEX Corpus, how we combine generic named entity and terminology recognition for the detailed annotation of the corpus, and how these annotations are further utilized by an annotations-aware cascaded finite-state parser.