TY  -  
T1  - A Finnish news corpus for named entity recognition 
SN  -  /  
UR  - http://hdl.handle.net/10138/335859 
T3  -  
A1  - Ruokolainen, Teemu; Kauppinen, Pekka; Silfverberg, Miikka; Lindén, Krister 
A2  -  
PB  -  
Y1  - 2020 
LA  - eng 
AB  - 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-doma... 
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SP  -  
OP  -  
KW  - 6121 Languages; Named entity recognition; Finnish; Newswire; Wikipedia; AGREEMENT 
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ER  -