A Finnish news corpus for named entity recognition

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Ruokolainen , T , Kauppinen , P , Silfverberg , M & Lindén , K 2020 , ' A Finnish news corpus for named entity recognition ' , Language Resources and Evaluation , vol. 54 , no. 1 , pp. 247-272 . https://doi.org/10.1007/s10579-019-09471-7

Title: A Finnish news corpus for named entity recognition
Author: Ruokolainen, Teemu; Kauppinen, Pekka; Silfverberg, Miikka; Lindén, Krister
Contributor organization: Centre for Preservation and Digisation
The National Library of Finland
Department of Digital Humanities
Language Technology
Date: 2020-03
Language: eng
Number of pages: 26
Belongs to series: Language Resources and Evaluation
ISSN: 1574-020X
DOI: https://doi.org/10.1007/s10579-019-09471-7
URI: http://hdl.handle.net/10138/335859
Abstract: 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, a Finnish online technology news source. The corpus is available for research purposes. We present baseline experiments on the corpus using a rule-based and two deep learning systems on two, in-domain and out-of-domain, test sets.
Subject: 6121 Languages
Named entity recognition
Peer reviewed: Yes
Rights: unspecified
Usage restriction: closedAccess
Self-archived version: submittedVersion

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