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 19th century. We discuss the challenges posed by these texts and the necessary adaptations introduced into the NER system in order to achieve accurate results, useful both for metadata generation, but also for the enhancement of the searching and browsing capabilities of Litteraturbanken, the Swedish Literature Bank, an ongoing cultural heritage project which aims to digitize significant works of Swedish literature.
For the Swedish language, REF proposed a named-entity recognition system adapted to Swedish literature from the 19th century.
Naming the Past: Named Entity and Animacy Recognition in 19th Century Swedish Literature
Workshop on Language Technology for Cultural Heritage Data (LaTeCH 2007)
History Computer Science