A Finnish news corpus for named entity recognition.

We present a corpus of Finnish news articles with a manually prepared named entity annotation. 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...

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Publicado en:	Language Resources & Evaluation Vol. 54; no. 1; pp. 247 - 273
Autores principales:	Ruokolainen, Teemu, Kauppinen, Pekka, Silfverberg, Miikka, Lindén, Krister
Formato:	Artículo
Publicado:	Springer Nature Mar2020
Materias:	Corpora Attribution of news Deep learning Instructional systems
Acceso en línea:	Ver este registro en EBSCOhost