Finnish News Corpus for Named Entity Recognition
Beskrivning
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
Visa merPubliceringsår
2019
Typ av data
Upphovspersoner
University of Helsinki - Kurator, Upphovsperson
Projekt
Övriga uppgifter
Vetenskapsområden
Språkvetenskaper
Språk
finska
Öppen tillgång
Öppet