mlsanityData to 7 Oct 2026

Examining the State-of-the-Art in News Timeline Summarization

arXiv 2005.10107 ↗First posted 20 May 2020cs.CLcited by 27

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Abstract (arXiv)

Previous work on automatic news timeline summarization (TLS) leaves an unclear picture about how this task can generally be approached and how well it is currently solved. This is mostly due to the focus on individual subtasks, such as date selection and date summarization, and to the previous lack of appropriate evaluation metrics for the full TLS task. In this paper, we compare different TLS strategies using appropriate evaluation frameworks, and propose a simple and effective combination of methods that improves over the state-of-the-art on all tested benchmarks. For a more robust evaluation, we also present a new TLS dataset, which is larger and spans longer time periods than previous datasets.

Key facts. Cited by 27 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 May 2020.

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Citing papers per year: 2021: 3; 2022: 4; 2023: 7; 2024: 8; 2025: 2; 2026: 3.

27 papers.

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  1. 2022RealTime QA: What's the Answer Right Now?cited by 239
  2. 2024A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methodscited by 101
  3. 2024Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understandingcited by 23
  4. 2023A Survey on Event-based News Narrative Extractioncited by 16
  5. 2023PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Streamcited by 7
  6. 2024Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevancecited by 7
  7. 2022CrisisLTLSum: A Benchmark for Local Crisis Event Timeline Extraction and Summarizationcited by 6
  8. 2023Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Ordercited by 6
  9. 2021TopicRefine: Joint Topic Prediction and Dialogue Response Generation for Multi-turn End-to-End Dialogue Systemcited by 5
  10. 2024Incremental Extractive Opinion Summarization Using Cover Treescited by 4
  11. 2023Video Timeline Modeling For News Story Understandingcited by 3
  12. 2021CNTLS: A Benchmark Dataset for Abstractive or Extractive Chinese Timeline Summarizationcited by 1
15 more
  1. 2023Archive TimeLine Summarization (ATLS): Conceptual Framework for Timeline Generation over Historical Document Collectionscited by 1
  2. 2023Background Summarization of Event Timelinescited by 1
  3. 2024Synergizing Unsupervised Episode Detection with LLMs for Large-Scale News Eventscited by 1
  4. 2021How News Evolves? Modeling News Text and Coverage using Graphs and Hawkes Processcited by 0
  5. 2022Placing (Historical) Facts on a Timeline: A Classification cum Coref Resolution Approachcited by 0
  6. 2022Towards Abstractive Timeline Summarisation using Preference-based Reinforcement Learningcited by 0
  7. 2023News Signals: An NLP Library for Text and Time Seriescited by 0
  8. 2024Distilling Event Sequence Knowledge From Large Language Modelscited by 0
  9. 2024TLEX: An Efficient Method for Extracting Exact Timelines from TimeML Temporal Graphscited by 0
  10. 2024Write Summary Step-by-Step: A Pilot Study of Stepwise Summarizationcited by 0
  11. 2025TIM: A Large-Scale Dataset and large Timeline Intelligence Model for Open-domain Timeline Summarizationcited by 0
  12. 2025Who's important? -- SUnSET: Synergistic Understanding of Stakeholder, Events and Time for Timeline Generationcited by 0
  13. 2026Large Language Model-Powered Query-Driven Event Timeline Summarization in Industrial Searchcited by 0
  14. 2026NTS-CoT: Mitigating Hallucinations in LLM-based News Timeline Summarization with Chain-of-Thought Reasoningcited by 0
  15. 2026Query-Focused Event Summarization: A Dataset and Benchmarkcited by 0