mlsanityData to 7 Oct 2026

Neural Sentence Ordering

arXiv 1607.06952 ↗First posted 23 Jul 2016cs.CLcited by 18

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Abstract (arXiv)

Sentence ordering is a general and critical task for natural language generation applications. Previous works have focused on improving its performance in an external, downstream task, such as multi-document summarization. Given its importance, we propose to study it as an isolated task. We collect a large corpus of academic texts, and derive a data driven approach to learn pairwise ordering of sentences, and validate the efficacy with extensive experiments. Source codes and dataset of this paper will be made publicly available.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Jul 2016.

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Citing papers per year: 2021: 9; 2022: 3; 2023: 4; 2024: 1; 2025: 1.

18 papers.

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  1. 2023Multimodal Procedural Planning via Dual Text-Image Promptingcited by 40
  2. 2022Neural Pipeline for Zero-Shot Data-to-Text Generationcited by 19
  3. 2021Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manualscited by 18
  4. 2021Is Everything in Order? A Simple Way to Order Sentencescited by 15
  5. 2021NAREOR: The Narrative Reordering Problemcited by 14
  6. 2021Neural Sentence Ordering Based on Constraint Graphscited by 8
  7. 2022Automatic Related Work Generation: A Meta Studycited by 8
  8. 2023Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Modelscited by 5
  9. 2024Made to Order: Discovering monotonic temporal changes via self-supervised video orderingcited by 5
  10. 2021Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderingscited by 4
  11. 2023A Novel Computational and Modeling Foundation for Automatic Coherence Assessmentcited by 4
  12. 2021BERT4SO: Neural Sentence Ordering by Fine-tuning BERTcited by 2
6 more
  1. 2021A New Sentence Ordering Method Using BERT Pretrained Modelcited by 1
  2. 2021Local and Global Context-Based Pairwise Models for Sentence Orderingcited by 1
  3. 2025BeDiscovER: The Benchmark of Discourse Understanding in the Era of Reasoning Language Modelscited by 1
  4. 2021InsertGNN: Can Graph Neural Networks Outperform Humans in TOEFL Sentence Insertion Problem?cited by 0
  5. 2022Pruned Graph Neural Network for Short Story Orderingcited by 0
  6. 2023Non-Autoregressive Sentence Orderingcited by 0