mlsanityData to 14 Oct 2026

End-to-End Neural Sentence Ordering Using Pointer Network

arXiv 1611.04953 ↗First posted 15 Nov 2016cs.CLcited by 17

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Abstract (arXiv)

Sentence ordering is one of important tasks in NLP. Previous works mainly focused on improving its performance by using pair-wise strategy. However, it is nontrivial for pair-wise models to incorporate the contextual sentence information. In addition, error prorogation could be introduced by using the pipeline strategy in pair-wise models. In this paper, we propose an end-to-end neural approach to address the sentence ordering problem, which uses the pointer network (Ptr-Net) to alleviate the error propagation problem and utilize the whole contextual information. Experimental results show the effectiveness of the proposed model. Source codes and dataset of this paper are available.

Key facts. Cited by 17 papers in the map (data through 14 Oct 2026). First posted on arXiv 15 Nov 2016.

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Citing papers per year: 2021: 12; 2022: 3; 2023: 2.

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  1. 2022Neural Pipeline for Zero-Shot Data-to-Text Generationcited by 19
  2. 2021Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manualscited by 18
  3. 2021Is Everything in Order? A Simple Way to Order Sentencescited by 15
  4. 2021Learning Temporal Dynamics from Cycles in Narrated Videocited by 13
  5. 2021DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generationcited by 11
  6. 2021Neural Sentence Ordering Based on Constraint Graphscited by 8
  7. 2022StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancingcited by 8
  8. 2021STaCK: Sentence Ordering with Temporal Commonsense Knowledgecited by 7
  9. 2023Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Modelscited by 5
  10. 2021Using BERT Encoding and Sentence-Level Language Model for Sentence Orderingcited by 4
  11. 2021Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderingscited by 4
  12. 2021BERT4SO: Neural Sentence Ordering by Fine-tuning BERTcited by 2
5 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. 2021InsertGNN: Can Graph Neural Networks Outperform Humans in TOEFL Sentence Insertion Problem?cited by 0
  4. 2022Pruned Graph Neural Network for Short Story Orderingcited by 0
  5. 2023Non-Autoregressive Sentence Orderingcited by 0