Bootstrapping a Romanian Corpus for Medical Named Entity Recognition
Maria Mitrofan · 2017
Named Entity Recognition (NER) is an important component of natural language processing (NLP), with applicability in the biomedical domain, enabling knowledge discovery from medical texts.Due to the fact that for the Romanian language there are only a few linguistic resources specific to the biomedical domain, we have created a sub-corpus specific to this domain.In this paper we present a newly developed Romanian sub-corpus for medical domain NER, which is a valuable asset for the field of biomedical text processing.We provide a description of the sub-corpus, statistics about data-composition and we evaluate an automatic NER tool on the newly created resource.