mlsanityData to 7 Oct 2026

A Finnish News Corpus for Named Entity Recognition

arXiv 1908.04212 ↗First posted 12 Aug 2019cs.CLcited by 11

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Abstract (arXiv)

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.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Aug 2019.

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Citing papers per year: 2021: 5; 2022: 2; 2023: 0; 2024: 1; 2025: 2; 2026: 1.

11 papers.

  1. 2022MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognitioncited by 38
  2. 2021Operationalizing a National Digital Library: The Case for a Norwegian Transformer Modelcited by 23
  3. 2021NEREL: A Russian Dataset with Nested Named Entities, Relations and Eventscited by 13
  4. 2022RuNNE-2022 Shared Task: Recognizing Nested Named Entitiescited by 8
  5. 2021The Current State of Finnish NLPcited by 5
  6. 2021Never guess what I heard... Rumor Detection in Finnish News: a Dataset and a Baselinecited by 4
  7. 2021Cross-lingual alignments of ELMo contextual embeddingscited by 3
  8. 2024Word Boundary Information Isn't Useful for Encoder Language Modelscited by 2
  9. 2025Tokenization Strategies for Low-Resource Agglutinative Languages in Word2Vec: Case Study on Turkish and Finnishcited by 1
  10. 2025CodeNER: Code Prompting for Named Entity Recognitioncited by 0
  11. 2026AWED-PIPER: Agents, Web Applications & Expert Detectors for Personally Identifiable Information Protection & Fine-grained Named Entity Recognition across 36 languages for 6.6 Billion Speakerscited by 0