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...

Full description

Bibliographic Details

Published in:	Language Resources & Evaluation Vol. 54; no. 1; pp. 247 - 273
Main Authors:	Ruokolainen, Teemu, Kauppinen, Pekka, Silfverberg, Miikka, Lindén, Krister
Format:	Article
Published:	Springer Nature Mar2020
Subjects:	Corpora Attribution of news Deep learning Instructional systems
Online Access:	View this record in EBSCOhost