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Extractive Opinion Summarization in Quantized Transformer Spaces

arXiv 2012.04443 ↗First posted 8 Dec 2020cs.CLcited by 76

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Abstract (arXiv)

We present the Quantized Transformer (QT), an unsupervised system for extractive opinion summarization. QT is inspired by Vector-Quantized Variational Autoencoders, which we repurpose for popularity-driven summarization. It uses a clustering interpretation of the quantized space and a novel extraction algorithm to discover popular opinions among hundreds of reviews, a significant step towards opinion summarization of practical scope. In addition, QT enables controllable summarization without further training, by utilizing properties of the quantized space to extract aspect-specific summaries. We also make publicly available SPACE, a large-scale evaluation benchmark for opinion summarizers, comprising general and aspect-specific summaries for 50 hotels. Experiments demonstrate the promise of our approach, which is validated by human studies where judges showed clear preference for our method over competitive baselines.

Key facts. Cited by 76 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Dec 2020.

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Citing papers per year: 2021: 9; 2022: 14; 2023: 19; 2024: 21; 2025: 9; 2026: 4.

76 papers.

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  1. 2024SnapKV: LLM Knows What You are Looking for Before Generationcited by 848
  2. 2023L-Eval: Instituting Standardized Evaluation for Long Context Language Modelscited by 232
  3. 2023LooGLE: Can Long-Context Language Models Understand Long Contexts?cited by 200
  4. 2023ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understandingcited by 175
  5. 2024A Survey on Large Language Model Acceleration based on KV Cache Managementcited by 125
  6. 2021Aspect-Controllable Opinion Summarizationcited by 47
  7. 2021ASPECTNEWS: Aspect-Oriented Summarization of News Documentscited by 37
  8. 2024Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLPcited by 27
  9. 2021Learning Opinion Summarizers by Selecting Informative Reviewscited by 25
  10. 2021Factorising Meaning and Form for Intent-Preserving Paraphrasingcited by 22
  11. 2022EntSUM: A Data Set for Entity-Centric Summarizationcited by 22
  12. 2021Convex Aggregation for Opinion Summarizationcited by 21
38 more
  1. 2021Comparative Opinion Summarization via Collaborative Decodingcited by 18
  2. 2023Controllable Text Summarization: Unraveling Challenges, Approaches, and Prospects -- A Surveycited by 18
  3. 2022Unsupervised Extractive Opinion Summarization Using Sparse Codingcited by 17
  4. 2022Efficient Few-Shot Fine-Tuning for Opinion Summarizationcited by 16
  5. 2021StreamHover: Livestream Transcript Summarization and Annotationcited by 15
  6. 2023OpenAsp: A Benchmark for Multi-document Open Aspect-based Summarizationcited by 15
  7. 2021Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidancecited by 14
  8. 2023Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluationcited by 14
  9. 2023Do Multi-Document Summarization Models Synthesize?cited by 11
  10. 2025A Survey on Transformer Context Extension: Approaches and Evaluationcited by 11
  11. 2024MDCure: A Scalable Pipeline for Multi-Document Instruction-Followingcited by 10
  12. 2022Beyond Opinion Mining: Summarizing Opinions of Customer Reviewscited by 9
  13. 2022Template-based Abstractive Microblog Opinion Summarisationcited by 9
  14. 2024An Empirical Analysis of Diversity in Argument Summarizationcited by 9
  15. 2025Lost in Transmission: When and Why LLMs Fail to Reason Globallycited by 9
  16. 2023From Key Points to Key Point Hierarchy: Structured and Expressive Opinion Summarizationcited by 8
  17. 2024SEAM: A Stochastic Benchmark for Multi-Document Taskscited by 8
  18. 2022Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understandingcited by 7
  19. 2023Concise Answers to Complex Questions: Summarization of Long-form Answerscited by 7
  20. 2024Hierarchical Indexing for Retrieval-Augmented Opinion Summarizationcited by 7
  21. 2023Attributable and Scalable Opinion Summarizationcited by 6
  22. 2023"What do others think?": Task-Oriented Conversational Modeling with Subjective Knowledgecited by 6
  23. 2023Zebra: Extending Context Window with Layerwise Grouped Local-Global Attentioncited by 6
  24. 2024Product Description and QA Assisted Self-Supervised Opinion Summarizationcited by 6
  25. 2024Instance-Aware Graph Prompt Learningcited by 6
  26. 2022Multi-Document Summarization with Centroid-Based Pretrainingcited by 5
  27. 2022Unsupervised Opinion Summarization Using Approximate Geodesicscited by 5
  28. 2022Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Postscited by 5
  29. 2024Disordered-DABS: A Benchmark for Dynamic Aspect-Based Summarization in Disordered Textscited by 5
  30. 2024Incremental Extractive Opinion Summarization Using Cover Treescited by 4
  31. 2024STRUM-LLM: Attributed and Structured Contrastive Summarizationcited by 4
  32. 2022Survey of Aspect-based Sentiment Analysis Datasetscited by 3
  33. 2022OpineSum: Entailment-based self-training for abstractive opinion summarizationcited by 3
  34. 2023Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extractioncited by 3
  35. 2024Rationale-based Opinion Summarizationcited by 3
  36. 2024MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarizationcited by 3
  37. 2024Retrieval Or Holistic Understanding? Dolce: Differentiate Our Long Context Evaluation Taskscited by 3
  38. 2025Decomposed Opinion Summarization with Verified Aspect-Aware Modulescited by 3

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