mlsanityData to 7 Oct 2026

LR-Sum: Summarization for Less-Resourced Languages

arXiv 2212.09674 ↗First posted 19 Dec 2022cs.CLcited by 5

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Abstract (arXiv)

This preprint describes work in progress on LR-Sum, a new permissively-licensed dataset created with the goal of enabling further research in automatic summarization for less-resourced languages. LR-Sum contains human-written summaries for 40 languages, many of which are less-resourced. We describe our process for extracting and filtering the dataset from the Multilingual Open Text corpus (Palen-Michel et al., 2022). The source data is public domain newswire collected from from Voice of America websites, and LR-Sum is released under a Creative Commons license (CC BY 4.0), making it one of the most openly-licensed multilingual summarization datasets. We describe how we plan to use the data for modeling experiments and discuss limitations of the dataset.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 19 of its 42 references that are in the map. First posted on arXiv 19 Dec 2022.

Builds on

19 of 42 references.

References · 19

  1. 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,813
  2. 2018Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarizationcited by 1,308
  3. 2015Teaching Machines to Read and Comprehendcited by 1,039
  4. 2016Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyondcited by 809
  5. 2021XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languagescited by 346
  6. 2016SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documentscited by 245
  7. 2021Quality at a Glance: An Audit of Web-Crawled Multilingual Datasetscited by 241
  8. 2018Ranking Sentences for Extractive Summarization with Reinforcement Learningcited by 128
  9. 2020MLSUM: The Multilingual Summarization Corpuscited by 121
  10. 2020KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundicited by 31
  11. 2022Not always about you: Prioritizing community needs when developing endangered language technologycited by 21
  12. 2018Neural Latent Extractive Document Summarizationcited by 20
7 more
  1. 2020Investigating an approach for low resource language dataset creation, curation and classification: Setswana and Sepedicited by 15
  2. 2020Liputan6: A Large-scale Indonesian Dataset for Text Summarizationcited by 14
  3. 2022Toward More Meaningful Resources for Lower-resourced Languagescited by 14
  4. 2021An Amharic News Text classification Datasetcited by 10
  5. 2022Multilingual Open Text Release 1: Public Domain News in 44 Languagescited by 10
  6. 2020ARPA: Armenian Paraphrase Detection Corpus and Modelscited by 3
  7. 2021Khmer Text Classification Using Word Embedding and Neural Networkscited by 1

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Cited by year

Citing papers per year: 2024: 2; 2025: 3.

5 papers.

  1. 2024SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languagescited by 41
  2. 2024The State and Fate of Summarization Datasets: A Surveycited by 3
  3. 2025Beyond One-Size-Fits-All Summarization: Customizing Summaries for Diverse Userscited by 2
  4. 2025PrahokBART: A Pre-trained Sequence-to-Sequence Model for Khmer Natural Language Generationcited by 1
  5. 2025Comparing Approaches to Automatic Summarization in Less-Resourced Languagescited by 0