A Finnish news corpus for named entity recognition

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http://hdl.handle.net/10138/335859

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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

Titel: A Finnish news corpus for named entity recognition
Författare: Ruokolainen, Teemu; Kauppinen, Pekka; Silfverberg, Miikka; Lindén, Krister
Upphovmannens organisation: Centre for Preservation and Digisation
The National Library of Finland
Department of Digital Humanities
Language Technology
Datum: 2020-03
Språk: eng
Sidantal: 26
Tillhör serie: Language Resources and Evaluation
ISSN: 1574-020X
DOI: https://doi.org/10.1007/s10579-019-09471-7
Permanenta länken (URI): http://hdl.handle.net/10138/335859
Abstrakt: 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
Finnish
Newswire
Wikipedia
AGREEMENT
Referentgranskad: Ja
Licens: unspecified
Användningsbegränsning: closedAccess
Parallelpublicerad version: submittedVersion


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