  This paper presents NorNE, a manually annotated corpus of named entities
which extends the annotation of the existing Norwegian Dependency Treebank.
Comprising both of the official standards of written Norwegian (Bokm{\aa}l and
Nynorsk), the corpus contains around 600,000 tokens and annotates a rich set of
entity types including persons, organizations, locations, geo-political
entities, products, and events, in addition to a class corresponding to
nominals derived from names. We here present details on the annotation effort,
guidelines, inter-annotator agreement and an experimental analysis of the
corpus using a neural sequence labeling architecture.
