mlsanityData to 14 Oct 2026

Benchmarking Multilabel Topic Classification in the Kyrgyz Language

arXiv 2308.15952 ↗First posted 30 Aug 2023cs.CLcited by 3

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Abstract (arXiv)

Kyrgyz is a very underrepresented language in terms of modern natural language processing resources. In this work, we present a new public benchmark for topic classification in Kyrgyz, introducing a dataset based on collected and annotated data from the news site 24.KG and presenting several baseline models for news classification in the multilabel setting. We train and evaluate both classical statistical and neural models, reporting the scores, discussing the results, and proposing directions for future work.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 16 of its 63 references that are in the map. First posted on arXiv 30 Aug 2023.

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16 of 63 references.

References · 16

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4 more
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Cited by year

Citing papers per year: 2024: 2; 2025: 1.

3 papers.

  1. 2024Recent Advancements and Challenges of Turkic Central Asian Language Processingcited by 6
  2. 2024KyrgyzNLP: Challenges, Progress, and Futurecited by 4
  3. 2025Human-Annotated NER Dataset for the Kyrgyz Languagecited by 1