Multi-Target Cross-Lingual Summarization: a novel task and a language-neutral approach
Not on the map. Why?
Abstract (arXiv)
Cross-lingual summarization aims to bridge language barriers by summarizing documents in different languages. However, ensuring semantic coherence across languages is an overlooked challenge and can be critical in several contexts. To fill this gap, we introduce multi-target cross-lingual summarization as the task of summarizing a document into multiple target languages while ensuring that the produced summaries are semantically similar. We propose a principled re-ranking approach to this problem and a multi-criteria evaluation protocol to assess semantic coherence across target languages, marking a first step that will hopefully stimulate further research on this problem.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 27 of its 44 references that are in the map. First posted on arXiv 1 Oct 2024.
Builds on
27 of 44 references.
References · 27
- 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 13,028
- 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
- 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,818
- 2022No Language Left Behind: Scaling Human-Centered Machine Translationcited by 1,312
- 2020Multilingual Denoising Pre-training for Neural Machine Translationcited by 1,035
- 2020COMET: A Neural Framework for MT Evaluationcited by 1,033
- 2016Bag of Tricks for Efficient Text Classificationcited by 876
- 2018Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyondcited by 434
- 2021XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languagescited by 347
- 2016FastText.zip: Compressing text classification modelscited by 335
- 2022CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Taskcited by 207
- 2020WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarizationcited by 154
15 more
- 2023SONAR: Sentence-Level Multimodal and Language-Agnostic Representationscited by 108
- 2019NCLS: Neural Cross-Lingual Summarizationcited by 64
- 2019OpenKiwi: An Open Source Framework for Quality Estimationcited by 49
- 2021CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language Pairscited by 39
- 2022A Survey on Cross-Lingual Summarizationcited by 38
- 2022Models and Datasets for Cross-Lingual Summarisationcited by 36
- 2018Examining the Tip of the Iceberg: A Data Set for Idiom Translationcited by 34
- 2021Cross-Lingual Abstractive Summarization with Limited Parallel Resourcescited by 27
- 2022A Variational Hierarchical Model for Neural Cross-Lingual Summarizationcited by 17
- 2022BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metriccited by 16
- 2023Towards Unifying Multi-Lingual and Cross-Lingual Summarizationcited by 15
- 2019Unbabel's Participation in the WMT19 Translation Quality Estimation Shared Taskcited by 13
- 2023PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in Indiacited by 11
- 2023μPLAN: Summarizing using a Content Plan as Cross-Lingual Bridgecited by 7
- 2023Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotationcited by 7
Built on by
Citing papers per year: 2025: 1; 2026: 1.
2 papers.