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MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization

arXiv 2103.06410 ↗First posted 11 Mar 2021cs.CLcited by 104

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Abstract (arXiv)

MediaSum, a large-scale media interview dataset consisting of 463.6K transcripts with abstractive summaries. To create this dataset, we collect interview transcripts from NPR and CNN and employ the overview and topic descriptions as summaries. Compared with existing public corpora for dialogue summarization, our dataset is an order of magnitude larger and contains complex multi-party conversations from multiple domains. We conduct statistical analysis to demonstrate the unique positional bias exhibited in the transcripts of televised and radioed interviews. We also show that MediaSum can be used in transfer learning to improve a model's performance on other dialogue summarization tasks.

Key facts. Cited by 104 papers in the map (data through 7 Oct 2026). Builds on 10 of its 21 references that are in the map. First posted on arXiv 11 Mar 2021.

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10 of 21 references.

References · 10

  1. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
  2. 2017Get To The Point: Summarization with Pointer-Generator Networkscited by 1,281
  3. 2018MultiWOZ -- A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modellingcited by 760
  4. 2019Unified Language Model Pre-training for Natural Language Understanding and Generationcited by 668
  5. 2019SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarizationcited by 530
  6. 2015The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systemscited by 172
  7. 2020Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarizationcited by 72
  8. 2018Content Selection in Deep Learning Models of Summarizationcited by 64
  9. 2019Abstractive Dialog Summarization with Semantic Scaffoldscited by 12
  10. 2020Interview: A Large-Scale Open-Source Corpus of Media Dialogcited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 14; 2022: 25; 2023: 18; 2024: 19; 2025: 16; 2026: 12.

104 papers.

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  1. 2023GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpointscited by 1,311
  2. 2023A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesiscited by 350
  3. 2024MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documentscited by 251
  4. 2021LongT5: Efficient Text-To-Text Transformer for Long Sequencescited by 232
  5. 2024A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methodscited by 101
  6. 2023MeetingBank: A Benchmark Dataset for Meeting Summarizationcited by 81
  7. 2021SummScreen: A Dataset for Abstractive Screenplay Summarizationcited by 80
  8. 2022An Empirical Survey on Long Document Summarization: Datasets, Models and Metricscited by 74
  9. 2021DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarizationcited by 72
  10. 2024TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarizationcited by 66
  11. 2021Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documentscited by 64
  12. 2024A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Modelscited by 52
38 more
  1. 2021A Survey on Dialogue Summarization: Recent Advances and New Frontierscited by 51
  2. 2021CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuningcited by 44
  3. 2023Summarization is (Almost) Deadcited by 43
  4. 2023Chainpoll: A high efficacy method for LLM hallucination detectioncited by 39
  5. 2022A Survey on Cross-Lingual Summarizationcited by 38
  6. 2022Efficient Long Sequence Modeling via State Space Augmented Transformercited by 37
  7. 2024AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledgecited by 35
  8. 2021DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarizationcited by 34
  9. 2023Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspectivecited by 34
  10. 2022Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarizationcited by 29
  11. 2021An Exploratory Study on Long Dialogue Summarization: What Works and What's Nextcited by 28
  12. 2021CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarizationcited by 27
  13. 2024Learning to Refine with Fine-Grained Natural Language Feedbackcited by 27
  14. 2021Training Dynamics for Text Summarization Modelscited by 25
  15. 2022ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarizationcited by 25
  16. 2022ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Modelscited by 25
  17. 2024Learning to Summarize from LLM-generated Feedbackcited by 24
  18. 2021Topic-Aware Contrastive Learning for Abstractive Dialogue Summarizationcited by 23
  19. 2022Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Trackingcited by 21
  20. 2022Adapting Pretrained Text-to-Text Models for Long Text Sequencescited by 21
  21. 2023DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AIcited by 21
  22. 2021TODSum: Task-Oriented Dialogue Summarization with State Trackingcited by 19
  23. 2023VCSUM: A Versatile Chinese Meeting Summarization Datasetcited by 18
  24. 2021QAConv: Question Answering on Informative Conversationscited by 17
  25. 2022MVP: Multi-task Supervised Pre-training for Natural Language Generationcited by 16
  26. 2022LSG Attention: Extrapolation of pretrained Transformers to long sequencescited by 16
  27. 2021StreamHover: Livestream Transcript Summarization and Annotationcited by 15
  28. 2022UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarizationcited by 15
  29. 2022Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarizationcited by 14
  30. 2022Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarizationcited by 14
  31. 2022Understanding Translationese in Cross-Lingual Summarizationcited by 14
  32. 2022Analyzing and Evaluating Faithfulness in Dialogue Summarizationcited by 12
  33. 2025Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluationcited by 10
  34. 2025Towards Multi-dimensional Evaluation of LLM Summarization across Domains and Languagescited by 10
  35. 2023LMGQS: A Large-scale Dataset for Query-focused Summarizationcited by 9
  36. 2024Select and Summarize: Scene Saliency for Movie Script Summarizationcited by 9
  37. 2025MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaborationcited by 9
  38. 2022Towards Abstractive Grounded Summarization of Podcast Transcriptscited by 8

50 most cited of 104 All 104 (JSON)