mlsanityData to 7 Oct 2026

VCSUM: A Versatile Chinese Meeting Summarization Dataset

arXiv 2305.05280 ↗First posted 9 May 2023cs.CL cs.AIcited by 18

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Abstract (arXiv)

Compared to news and chat summarization, the development of meeting summarization is hugely decelerated by the limited data. To this end, we introduce a versatile Chinese meeting summarization dataset, dubbed VCSum, consisting of 239 real-life meetings, with a total duration of over 230 hours. We claim our dataset is versatile because we provide the annotations of topic segmentation, headlines, segmentation summaries, overall meeting summaries, and salient sentences for each meeting transcript. As such, the dataset can adapt to various summarization tasks or methods, including segmentation-based summarization, multi-granularity summarization and retrieval-then-generate summarization. Our analysis confirms the effectiveness and robustness of VCSum. We also provide a set of benchmark models regarding different downstream summarization tasks on VCSum to facilitate further research. The dataset and code will be released at https://github.com/hahahawu/VCSum.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). Builds on 22 of its 36 references that are in the map. First posted on arXiv 9 May 2023.

Builds on

22 of 36 references.

References · 22

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
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  4. 2020Longformer: The Long-Document Transformercited by 3,362
  5. 2018Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarizationcited by 1,308
  6. 2019PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarizationcited by 1,100
  7. 2016Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyondcited by 809
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  11. 2021QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarizationcited by 363
  12. 2021DialogSum: A Real-Life Scenario Dialogue Summarization Datasetcited by 181
10 more
  1. 2021MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarizationcited by 104
  2. 2021Planning with Learned Entity Prompts for Abstractive Summarizationcited by 75
  3. 2020Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarizationcited by 72
  4. 2021DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarizationcited by 72
  5. 2018Content Selection in Deep Learning Models of Summarizationcited by 64
  6. 2019Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Studycited by 47
  7. 2021Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarizationcited by 46
  8. 2021DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarizationcited by 34
  9. 2021EmailSum: Abstractive Email Thread Summarizationcited by 24
  10. 2021End-to-End Segmentation-based News Summarizationcited by 16

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Citing papers per year: 2023: 4; 2024: 6; 2025: 7; 2026: 1.

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  10. 2023FREDSum: A Dialogue Summarization Corpus for French Political Debatescited by 3
  11. 2024Leveraging Discourse Structure for Extractive Meeting Summarizationcited by 3
  12. 2024The State and Fate of Summarization Datasets: A Surveycited by 3
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