  We present a corpus of Finnish news articles with a manually prepared named
entity annotation. The corpus consists of 953 articles (193,742 word tokens)
with six named entity classes (organization, location, person, product, event,
and date). The articles are extracted from the archives of Digitoday, a Finnish
online technology news source. The corpus is available for research purposes.
We present baseline experiments on the corpus using a rule-based and two deep
learning systems on two, in-domain and out-of-domain, test sets.
