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Neural Network-Based Abstract Generation for Opinions and Arguments

arXiv 1606.02785 ↗First posted 9 Jun 2016cs.CLcited by 46

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Abstract (arXiv)

We study the problem of generating abstractive summaries for opinionated text. We propose an attention-based neural network model that is able to absorb information from multiple text units to construct informative, concise, and fluent summaries. An importance-based sampling method is designed to allow the encoder to integrate information from an important subset of input. Automatic evaluation indicates that our system outperforms state-of-the-art abstractive and extractive summarization systems on two newly collected datasets of movie reviews and arguments. Our system summaries are also rated as more informative and grammatical in human evaluation.

Key facts. Cited by 46 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Jun 2016.

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Citing papers per year: 2021: 14; 2022: 3; 2023: 12; 2024: 9; 2025: 5; 2026: 3.

46 papers.

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  1. 2021Finetuned Language Models Are Zero-Shot Learnerscited by 3,747
  2. 2021SummScreen: A Dataset for Abstractive Screenplay Summarizationcited by 80
  3. 2021AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarizationcited by 51
  4. 2021Aspect-Controllable Opinion Summarizationcited by 47
  5. 2021Does Pretraining for Summarization Require Knowledge Transfer?cited by 30
  6. 2021Overview of the 2021 Key Point Analysis Shared Taskcited by 23
  7. 2021Scientia Potentia Est -- On the Role of Knowledge in Computational Argumentationcited by 17
  8. 2021How well do you know your summarization datasets?cited by 16
  9. 2021Key Point Analysis via Contrastive Learning and Extractive Argument Summarizationcited by 16
  10. 2024One Prompt To Rule Them All: LLMs for Opinion Summary Evaluationcited by 16
  11. 2021Generating Informative Conclusions for Argumentative Textscited by 14
  12. 2023Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluationcited by 14
34 more
  1. 2021MultiOpEd: A Corpus of Multi-Perspective News Editorialscited by 13
  2. 2024Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: A Benchmark Studycited by 13
  3. 2021DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generationcited by 11
  4. 2023Large-Scale and Multi-Perspective Opinion Summarization with Diverse Review Subsetscited by 10
  5. 2022Beyond Opinion Mining: Summarizing Opinions of Customer Reviewscited by 9
  6. 2022Template-based Abstractive Microblog Opinion Summarisationcited by 9
  7. 2024An Empirical Analysis of Diversity in Argument Summarizationcited by 9
  8. 2023Attributable and Scalable Opinion Summarizationcited by 6
  9. 2024Product Description and QA Assisted Self-Supervised Opinion Summarizationcited by 6
  10. 2023USB: A Unified Summarization Benchmark Across Tasks and Domainscited by 5
  11. 2023A comprehensive review of automatic text summarization techniques: method, data, evaluation and codingcited by 4
  12. 2023PSentScore: Evaluating Sentiment Polarity in Dialogue Summarizationcited by 4
  13. 2025Argument Summarization and its Evaluation in the Era of Large Language Modelscited by 4
  14. 2023Absformer: Transformer-based Model for Unsupervised Multi-Document Abstractive Summarizationcited by 3
  15. 2024MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarizationcited by 3
  16. 2024The State and Fate of Summarization Datasets: A Surveycited by 3
  17. 2021Improving Online Forums Summarization via Hierarchical Unified Deep Neural Networkcited by 2
  18. 2022Unsupervised Opinion Summarisation in the Wasserstein Spacecited by 2
  19. 2023Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarizationcited by 2
  20. 2023A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarizationcited by 2
  21. 2023Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretrainingcited by 2
  22. 2025Enhancing Abstractive Summarization of Scientific Papers Using Structure Informationcited by 2
  23. 2023SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarizationcited by 1
  24. 2023PELMS: Pre-training for Effective Low-Shot Multi-Document Summarizationcited by 1
  25. 2024Distilling Opinions at Scale: Incremental Opinion Summarization using XL-OPSUMMcited by 1
  26. 2024LightPAL: Lightweight Passage Retrieval for Open Domain Multi-Document Summarizationcited by 1
  27. 2024PerSphere: A Comprehensive Framework for Multi-Faceted Perspective Retrieval and Summarizationcited by 1
  28. 2021Abstractive Opinion Taggingcited by 0
  29. 2025DiscoSum: Discourse-aware News Summarizationcited by 0
  30. 2025LLMs as Architects and Critics for Multi-Source Opinion Summarizationcited by 0
  31. 2025Arg-LLaDA: Argument Summarization via Large Language Diffusion Models and Sufficiency-Aware Refinementcited by 0
  32. 2026SAD: A Large-Scale Strategic Argumentative Dialogue Datasetcited by 0
  33. 2026MOSAIC: Modular Opinion Summarization using Aspect Identification and Clusteringcited by 0
  34. 2026Pairwise Logical Selection of Enthymeme Completions under Semantic-Link Uncertaintycited by 0