mlsanityData to 14 Oct 2026

End-to-End Segmentation-based News Summarization

arXiv 2110.07850 ↗First posted 15 Oct 2021cs.CLcited by 16

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Abstract (arXiv)

In this paper, we bring a new way of digesting news content by introducing the task of segmenting a news article into multiple sections and generating the corresponding summary to each section. We make two contributions towards this new task. First, we create and make available a dataset, SegNews, consisting of 27k news articles with sections and aligned heading-style section summaries. Second, we propose a novel segmentation-based language generation model adapted from pre-trained language models that can jointly segment a document and produce the summary for each section. Experimental results on SegNews demonstrate that our model can outperform several state-of-the-art sequence-to-sequence generation models for this new task.

Key facts. Cited by 16 papers in the map (data through 14 Oct 2026). Builds on 19 of its 41 references that are in the map. First posted on arXiv 15 Oct 2021.

Builds on

19 of 41 references.

References · 19

  1. 2017Attention Is All You Needcited by 60,361
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  5. 2016Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translationcited by 1,475
  6. 2018Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarizationcited by 1,317
  7. 2017Get To The Point: Summarization with Pointer-Generator Networkscited by 1,292
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  12. 2015A Neural Attention Model for Abstractive Sentence Summarizationcited by 396
7 more
  1. 2019MASS: Masked Sequence to Sequence Pre-training for Language Generationcited by 347
  2. 2016SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documentscited by 246
  3. 2020UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Trainingcited by 204
  4. 2016Neural Summarization by Extracting Sentences and Wordscited by 116
  5. 2018Content Selection in Deep Learning Models of Summarizationcited by 64
  6. 2016Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraintscited by 34
  7. 2019Outline Generation: Understanding the Inherent Content Structure of Documentscited by 12

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Citing papers per year: 2021: 1; 2022: 1; 2023: 7; 2024: 5; 2025: 2.

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  1. 2024Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Modelscited by 152
  2. 2021Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documentscited by 65
  3. 2023FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledgecited by 55
  4. 2023VCSUM: A Versatile Chinese Meeting Summarization Datasetcited by 18
  5. 2024From Text Segmentation to Smart Chaptering: A Novel Benchmark for Structuring Video Transcriptionscited by 16
  6. 2023Improving Long Document Topic Segmentation Models With Enhanced Coherence Modelingcited by 15
  7. 2025HiChunk: Evaluating and Enhancing Retrieval-Augmented Generation with Hierarchical Chunkingcited by 12
  8. 2024PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapterscited by 8
  9. 2024Flexible and Adaptable Summarization via Expertise Separationcited by 7
  10. 2022Structured Summarization: Unified Text Segmentation and Segment Labeling as a Generation Taskcited by 6
  11. 2023A Topic-aware Summarization Framework with Different Modal Side Informationcited by 6
  12. 2023P^3SUM: Preserving Author's Perspective in News Summarization with Diffusion Language Modelscited by 4
4 more
  1. 2023Document Summarization with Text Segmentationcited by 3
  2. 2023Advancing Topic Segmentation and Outline Generation in Chinese Texts: The Paragraph-level Topic Representation, Corpus, and Benchmarkcited by 3
  3. 2024SPECTRUM: Speaker-Enhanced Pre-Training for Long Dialogue Summarizationcited by 0
  4. 2025A Vietnamese Dataset for Text Segmentation and Multiple Choices Reading Comprehensioncited by 0