WikiMulti: a Corpus for Cross-Lingual Summarization
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Abstract (arXiv)
Cross-lingual summarization (CLS) is the task to produce a summary in one particular language for a source document in a different language. We introduce WikiMulti - a new dataset for cross-lingual summarization based on Wikipedia articles in 15 languages. As a set of baselines for further studies, we evaluate the performance of existing cross-lingual abstractive summarization methods on our dataset. We make our dataset publicly available here: https://github.com/tikhonovpavel/wikimulti
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 12 of its 18 references that are in the map. First posted on arXiv 23 Apr 2022.
Builds on
12 of 18 references.
References · 12
- 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,818
- 2018Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarizationcited by 1,317
- 2020Multilingual Denoising Pre-training for Neural Machine Translationcited by 1,035
- 2016Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyondcited by 812
- 2017Reading Wikipedia to Answer Open-Domain Questionscited by 777
- 2020Beyond English-Centric Multilingual Machine Translationcited by 561
- 2021XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languagescited by 347
- 2021WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learningcited by 287
- 2020WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarizationcited by 154
- 2020MLSUM: The Multilingual Summarization Corpuscited by 121
- 2019Global Voices: Crossing Borders in Automatic News Summarizationcited by 20
- 2021WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Datasetcited by 20
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Citing papers per year: 2022: 1; 2023: 1; 2024: 1.
3 papers.