mlsanityData to 14 Oct 2026

CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing

arXiv 2211.05886 ↗First posted 10 Nov 2022cs.CLcited by 5

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Abstract (arXiv)

This paper introduces the shared task of summarizing documents in several creative domains, namely literary texts, movie scripts, and television scripts. Summarizing these creative documents requires making complex literary interpretations, as well as understanding non-trivial temporal dependencies in texts containing varied styles of plot development and narrative structure. This poses unique challenges and is yet underexplored for text summarization systems. In this shared task, we introduce four sub-tasks and their corresponding datasets, focusing on summarizing books, movie scripts, primetime television scripts, and daytime soap opera scripts. We detail the process of curating these datasets for the task, as well as the metrics used for the evaluation of the submissions. As part of the CREATIVESUMM workshop at COLING 2022, the shared task attracted 18 submissions in total. We discuss the submissions and the baselines for each sub-task in this paper, along with directions for facilitating future work in the field.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 13 of its 27 references that are in the map. First posted on arXiv 10 Nov 2022.

Builds on

13 of 27 references.

References · 13

  1. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,512
  2. 2020Longformer: The Long-Document Transformercited by 3,413
  3. 2021SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarizationcited by 407
  4. 2018Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategiescited by 294
  5. 2021Recursively Summarizing Books with Human Feedbackcited by 290
  6. 2021Get Your Vitamin C! Robust Fact Verification with Contrastive Evidencecited by 225
  7. 2021BookSum: A Collection of Datasets for Long-form Narrative Summarizationcited by 184
  8. 2022SCROLLS: Standardized CompaRison Over Long Language Sequencescited by 170
  9. 2021SummScreen: A Dataset for Abstractive Screenplay Summarizationcited by 79
  10. 2021Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarizationcited by 51
  11. 2021Finding a Balanced Degree of Automation for Summary Evaluationcited by 43
  12. 2022Long Document Summarization with Top-down and Bottom-up Inferencecited by 42
1 more
  1. 2020Exploring Content Selection in Summarization of Novel Chapterscited by 29

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Citing papers per year: 2022: 1; 2023: 0; 2024: 3; 2025: 1.

5 papers.