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 Finnish Newswire Wikipedia AGREEMENT |
| Peer reviewed: | Yes |
| Rights: | unspecified |
| Usage restriction: | closedAccess |
| Self-archived version: | submittedVersion |
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Articles from TUHAT CRIS [50471]