Finnish News Corpus for Named Entity Recognition

Finnish News Corpus for Named Entity Recognition

Description

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 data sets are available at https://github.com/mpsilfve/finer-data and will be available in the download service korp.csc.fi/download in Kielipankki – the Language Bank of Finland. The FiNER system and its technical documentation are available at http://urn.fi/urn:nbn:fi:lb-2018091301
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Year of publication

2019

Authors

University of Helsinki - Curator, Creator

Other information

Fields of science

Languages

Language

Finnish

Open access

Open

License

Creative Commons Attribution NonCommercial NoDerivatives 4.0 International (CC BY NC ND 4.0)
Finnish News Corpus for Named Entity Recognition - Research.fi