mlsanityData to 7 Oct 2026

The Cross-lingual Conversation Summarization Challenge

arXiv 2205.00379 ↗First posted 1 May 2022cs.CLcited by 8

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Abstract (arXiv)

We propose the shared task of cross-lingual conversation summarization, ConvSumX Challenge, opening new avenues for researchers to investigate solutions that integrate conversation summarization and machine translation. This task can be particularly useful due to the emergence of online meetings and conferences. We construct a new benchmark, covering 2 real-world scenarios and 3 language directions, including a low-resource language. We hope that ConvSumX can motivate researches to go beyond English and break the barrier for non-English speakers to benefit from recent advances of conversation summarization.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 20 of its 30 references that are in the map. First posted on arXiv 1 May 2022.

Builds on

20 of 30 references.

References · 20

  1. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,462
  2. 2020SummEval: Re-evaluating Summarization Evaluationcited by 666
  3. 2019SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarizationcited by 530
  4. 2021QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarizationcited by 363
  5. 2021Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translationcited by 333
  6. 2019Neural Text Summarization: A Critical Evaluationcited by 189
  7. 2021DialogSum: A Real-Life Scenario Dialogue Summarization Datasetcited by 181
  8. 2020WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarizationcited by 154
  9. 2021MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarizationcited by 104
  10. 2021DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarizationcited by 72
  11. 2019NCLS: Neural Cross-Lingual Summarizationcited by 64
  12. 2021A Survey on Dialogue Summarization: Recent Advances and New Frontierscited by 51
8 more
  1. 2021Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarizationcited by 46
  2. 2022Models and Datasets for Cross-Lingual Summarisationcited by 36
  3. 2021Cross-Lingual Abstractive Summarization with Limited Parallel Resourcescited by 27
  4. 2022ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarizationcited by 25
  5. 2020Mixed-Lingual Pre-training for Cross-lingual Summarizationcited by 17
  6. 2022A Variational Hierarchical Model for Neural Cross-Lingual Summarizationcited by 17
  7. 2021Autocorrect in the Process of Translation -- Multi-task Learning Improves Dialogue Machine Translationcited by 8
  8. 2021SummerTime: Text Summarization Toolkit for Non-expertscited by 6

Built on by

Cited by year

Citing papers per year: 2022: 6; 2023: 2.

8 papers.

  1. 2022UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarizationcited by 15
  2. 2023Towards Unifying Multi-Lingual and Cross-Lingual Summarizationcited by 15
  3. 2022Understanding Translationese in Cross-Lingual Summarizationcited by 14
  4. 2023Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotationcited by 7
  5. 2022Semantic-based Pre-training for Dialogue Understandingcited by 3
  6. 2022Taxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches and Future Directionscited by 3
  7. 2022GOAL: Towards Benchmarking Few-Shot Sports Game Summarizationcited by 2
  8. 2022Cross-domain Generalization for AMR Parsingcited by 2