mlsanityData to 7 Oct 2026

Aspect Sentiment Quad Prediction as Paraphrase Generation

arXiv 2110.00796 ↗First posted 2 Oct 2021cs.CLcited by 99

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Abstract (arXiv)

Aspect-based sentiment analysis (ABSA) has been extensively studied in recent years, which typically involves four fundamental sentiment elements, including the aspect category, aspect term, opinion term, and sentiment polarity. Existing studies usually consider the detection of partial sentiment elements, instead of predicting the four elements in one shot. In this work, we introduce the Aspect Sentiment Quad Prediction (ASQP) task, aiming to jointly detect all sentiment elements in quads for a given opinionated sentence, which can reveal a more comprehensive and complete aspect-level sentiment structure. We further propose a novel textscParaphrase modeling paradigm to cast the ASQP task to a paraphrase generation process. On one hand, the generation formulation allows solving ASQP in an end-to-end manner, alleviating the potential error propagation in the pipeline solution. On the other hand, the semantics of the sentiment elements can be fully exploited by learning to generate them in the natural language form. Extensive experiments on benchmark datasets show the superiority of our proposed method and the capacity of cross-task transfer with the proposed unified textscParaphrase modeling framework.

Key facts. Cited by 99 papers in the map (data through 7 Oct 2026). Builds on 23 of its 44 references that are in the map. First posted on arXiv 2 Oct 2021.

Builds on

23 of 44 references.

References · 23

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  4. 2021Structured Prediction as Translation between Augmented Natural Languagescited by 183
  5. 2019Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysiscited by 123
  6. 2019Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentencecited by 121
  7. 2021A Unified Generative Framework for Aspect-Based Sentiment Analysiscited by 97
  8. 2020Position-Aware Tagging for Aspect Sentiment Triplet Extractioncited by 90
  9. 2021A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysiscited by 61
  10. 2019Exploiting BERT for End-to-End Aspect-based Sentiment Analysiscited by 57
  11. 2018A Unified Model for Opinion Target Extraction and Target Sentiment Predictioncited by 56
  12. 2019An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysiscited by 52
11 more
  1. 2019Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classificationcited by 50
  2. 2018Double Embeddings and CNN-based Sequence Labeling for Aspect Extractioncited by 42
  3. 2021Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extractioncited by 40
  4. 2020Augmented Natural Language for Generative Sequence Labelingcited by 29
  5. 2019Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classificationcited by 22
  6. 2016A Hierarchical Model of Reviews for Aspect-based Sentiment Analysiscited by 21
  7. 2018CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysiscited by 21
  8. 2021ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Predictioncited by 18
  9. 2019DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extractioncited by 17
  10. 2016Unsupervised Word and Dependency Path Embeddings for Aspect Term Extractioncited by 11
  11. 2021First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extractioncited by 8

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 11; 2023: 29; 2024: 21; 2025: 17; 2026: 20.

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  1. 2021P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Taskscited by 686
  2. 2023Sentiment Analysis in the Era of Large Language Models: A Reality Checkcited by 262
  3. 2023Reasoning Implicit Sentiment with Chain-of-Thought Promptingcited by 79
  4. 2022A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challengescited by 61
  5. 2023MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Predictioncited by 49
  6. 2023Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversationscited by 41
  7. 2022A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systemscited by 32
  8. 2022Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentationcited by 29
  9. 2022DiaASQ : A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysiscited by 27
  10. 2024Affective Computing in the Era of Large Language Models: A Survey from the NLP Perspectivecited by 24
  11. 2024Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challengescited by 18
  12. 2022Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysiscited by 16
38 more
  1. 2022Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structurecited by 13
  2. 2023A Systematic Review of Aspect-based Sentiment Analysis: Domains, Methods, and Trendscited by 13
  3. 2024PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysiscited by 13
  4. 2023Paraphrase Detection: Human vs. Machine Contentcited by 12
  5. 2024Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategycited by 12
  6. 2023Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Predictioncited by 10
  7. 2022UnifiedABSA: A Unified ABSA Framework Based on Multi-task Instruction Tuningcited by 9
  8. 2025Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Predictioncited by 9
  9. 2024EFSA: Towards Event-Level Financial Sentiment Analysiscited by 7
  10. 2023"What do others think?": Task-Oriented Conversational Modeling with Subjective Knowledgecited by 6
  11. 2023The Limits of ChatGPT in Extracting Aspect-Category-Opinion-Sentiment Quadruples: A Comparative Analysiscited by 6
  12. 2023Easy-to-Hard Learning for Information Extractioncited by 5
  13. 2023A Unified One-Step Solution for Aspect Sentiment Quad Predictioncited by 5
  14. 2023Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasingcited by 4
  15. 2023MEMD-ABSA: A Multi-Element Multi-Domain Dataset for Aspect-Based Sentiment Analysiscited by 4
  16. 2023Dynamic Multi-Scale Context Aggregation for Conversational Aspect-Based Sentiment Quadruple Analysiscited by 4
  17. 2024BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Predictioncited by 4
  18. 2025Czech Dataset for Complex Aspect-Based Sentiment Analysis Taskscited by 4
  19. 2026SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis (DimABSA)cited by 4
  20. 2022Survey of Aspect-based Sentiment Analysis Datasetscited by 3
  21. 2022Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representationscited by 3
  22. 2023Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extractioncited by 3
  23. 2023A Pairing Enhancement Approach for Aspect Sentiment Triplet Extractioncited by 3
  24. 2023CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extractioncited by 3
  25. 2024Sequence-to-Sequence Language Models for Character and Emotion Detection in Dream Narrativescited by 3
  26. 2024Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Predictioncited by 3
  27. 2025Can Large Language Models be Effective Online Opinion Miners?cited by 3
  28. 2025LLaMA-Based Models for Aspect-Based Sentiment Analysiscited by 3
  29. 2025Advancing Cross-lingual Aspect-Based Sentiment Analysis with LLMs and Constrained Decoding for Sequence-to-Sequence Modelscited by 3
  30. 2022AX-MABSA: A Framework for Extremely Weakly Supervised Multi-label Aspect Based Sentiment Analysiscited by 2
  31. 2023Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysiscited by 2
  32. 2023Measuring Your ASTE Models in The Wild: A Diversified Multi-domain Dataset For Aspect Sentiment Triplet Extractioncited by 2
  33. 2023Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Datacited by 2
  34. 2023iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative Examplescited by 2
  35. 2024Make Compound Sentences Simple to Analyze: Learning to Split Sentences for Aspect-based Sentiment Analysiscited by 2
  36. 2024PGSO: Prompt-based Generative Sequence Optimization Network for Aspect-based Sentiment Analysiscited by 2
  37. 2025Decoding the Flow: CauseMotion for Emotional Causality Analysis in Long-form Conversationscited by 2
  38. 2025STAR: Stepwise Task Augmentation with Relation Learning for Aspect Sentiment Quad Predictioncited by 2

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