We present a named entity annotation for the Danish Universal Dependencies treebank
using the CoNLL-2003 annotation scheme: DaNE. It is the largest publicly available, Danish …

Objective Drugs have tremendous potential to cure and relieve disease, but the risk of
unintended effects is always present. Healthcare providers increasingly record data in …

This paper introduces DaN+, a new multi-domain corpus and annotation guidelines for
Danish nested named entities (NEs) and lexical normalization to support research on cross …

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 …

Abstract Danish is a North Germanic language spoken principally in Denmark, a country
with a long tradition of technological and scientific innovation. However, the language has …

This paper provides a description and evaluation of a generic named-entity recognition
(NER) system for Swedish applied to electronic versions of Swedish literary classics from the …

In some languages, Named Entity Recognition (NER) is severely hindered by complex
linguistic structures, such as inflection, that will confuse the data-driven models when …

We present the result of an annotation task on regular polysemy for a series of semantic
classes or dot types in English, Danish and Spanish. This article describes the annotation …

Named Entity Recognition (NER) has greatly advanced by the introduction of deep neural
architectures. However, the success of these methods depends on large amounts of training …

Named entity recognition (NER) is a knowledge-intensive information extraction task that is
used for recognizing textual mentions of entities that belong to a predefined set of …