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
Other contributor: University of Helsinki, Centre for Preservation and Digisation
University of Helsinki, Department of Digital Humanities
University of Helsinki, Language Technology
University of Helsinki, Language Technology

Date: 2020-03
Language: eng
Number of pages: 26
Belongs to series: Language Resources and Evaluation
ISSN: 1574-0218
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

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