mlsanityData to 14 Oct 2026

Inducing Positive Perspectives with Text Reframing

arXiv 2204.02952 ↗First posted 6 Apr 2022cs.CLcited by 31

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Abstract (arXiv)

Sentiment transfer is one popular example of a text style transfer task, where the goal is to reverse the sentiment polarity of a text. With a sentiment reversal comes also a reversal in meaning. We introduce a different but related task called positive reframing in which we neutralize a negative point of view and generate a more positive perspective for the author without contradicting the original meaning. Our insistence on meaning preservation makes positive reframing a challenging and semantically rich task. To facilitate rapid progress, we introduce a large-scale benchmark, Positive Psychology Frames, with 8,349 sentence pairs and 12,755 structured annotations to explain positive reframing in terms of six theoretically-motivated reframing strategies. Then we evaluate a set of state-of-the-art text style transfer models, and conclude by discussing key challenges and directions for future work.

Key facts. Cited by 31 papers in the map (data through 14 Oct 2026). Builds on 41 of its 116 references that are in the map. First posted on arXiv 6 Apr 2022.

Builds on

41 of 116 references.

References · 41

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2020Language Models are Few-Shot Learnerscited by 32,419
  3. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  4. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  5. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  6. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,893
  7. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,512
  8. 2019XLNet: Generalized Autoregressive Pretraining for Language Understandingcited by 2,811
  9. 2017Get To The Point: Summarization with Pointer-Generator Networkscited by 1,292
  10. 2017Automated Hate Speech Detection and the Problem of Offensive Languagecited by 736
  11. 2016Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filteringcited by 520
  12. 2020GeDi: Generative Discriminator Guided Sequence Generationcited by 378
29 more
  1. 2017Unsupervised Machine Translation Using Monolingual Corpora Onlycited by 273
  2. 2017Toward Controlled Generation of Textcited by 272
  3. 2019Matching the Blanks: Distributional Similarity for Relation Learningcited by 272
  4. 2018FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluationcited by 254
  5. 2017Style Transfer from Non-Parallel Text by Cross-Alignmentcited by 248
  6. 2021Latent Hatred: A Benchmark for Understanding Implicit Hate Speechcited by 217
  7. 2018Dear Sir or Madam, May I introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfercited by 211
  8. 2018Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfercited by 191
  9. 2020Deep Learning for Text Style Transfer: A Surveycited by 162
  10. 2017Style Transfer in Text: Exploration and Evaluationcited by 146
  11. 2018Style Transfer Through Back-Translationcited by 124
  12. 2017Sentence Simplification with Deep Reinforcement Learningcited by 109
  13. 2019Automatically Neutralizing Subjective Bias in Textcited by 105
  14. 2019Transforming Delete, Retrieve, Generate Approach for Controlled Text Style Transfercited by 81
  15. 2020Politeness Transfer: A Tag and Generate Approachcited by 78
  16. 2019Evaluating Style Transfer for Textcited by 61
  17. 2020PowerTransformer: Unsupervised Controllable Revision for Biased Language Correctioncited by 59
  18. 2017Shakespearizing Modern Language Using Copy-Enriched Sequence-to-Sequence Modelscited by 57
  19. 2018Unsupervised Statistical Machine Translationcited by 51
  20. 2018Content preserving text generation with attribute controlscited by 47
  21. 2020Parallel Data Augmentation for Formality Style Transfercited by 39
  22. 2019IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translationcited by 33
  23. 2019Pragmatically Informative Text Generationcited by 32
  24. 2018Multi-Task Neural Models for Translating Between Styles Within and Across Languagescited by 28
  25. 2019Domain Adaptive Text Style Transfercited by 25
  26. 2019Semi-supervised Text Style Transfer: Cross Projection in Latent Spacecited by 21
  27. 2020Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfercited by 18
  28. 2021ENTRUST: Argument Reframing with Language Models and Entailmentcited by 10
  29. 2019Grammatical Error Correction and Style Transfer via Zero-shot Monolingual Translationcited by 7

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 14; 2024: 8; 2025: 6; 2026: 2.

31 papers.

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  1. 2023Can Large Language Models Transform Computational Social Science?cited by 250
  2. 2023Cognitive Reframing of Negative Thoughts through Human-Language Model Interactioncited by 77
  3. 2025Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providerscited by 69
  4. 2023Facilitating Self-Guided Mental Health Interventions Through Human-Language Model Interaction: A Case Study of Cognitive Restructuringcited by 53
  5. 2023Benefits and Harms of Large Language Models in Digital Mental Healthcited by 40
  6. 2023Training Models to Generate, Recognize, and Reframe Unhelpful Thoughtscited by 31
  7. 2024Can AI Relate: Testing Large Language Model Response for Mental Health Supportcited by 21
  8. 2023Conflicts, Villains, Resolutions: Towards models of Narrative Media Framingcited by 14
  9. 2024Large Language Models are Capable of Offering Cognitive Reappraisal, if Guidedcited by 13
  10. 2025MIRROR: Multimodal Cognitive Reframing Therapy for Rolling with Resistancecited by 13
  11. 2025Exploring User Security and Privacy Attitudes and Concerns Toward the Use of General-Purpose LLM Chatbots for Mental Healthcited by 13
  12. 2023Evaluating Subjective Cognitive Appraisals of Emotions from Large Language Modelscited by 12
19 more
  1. 2024CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Modelscited by 11
  2. 2025Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive Dialoguescited by 11
  3. 2023The Inner Sentiments of a Thoughtcited by 4
  4. 2023Defining a New NLP Playgroundcited by 4
  5. 2024Dealing with Controversy: An Emotion and Coping Strategy Corpus Based on Role Playingcited by 4
  6. 2023TalkUp: Paving the Way for Understanding Empowering Languagecited by 3
  7. 2023How About Kind of Generating Hedges using End-to-End Neural Models?cited by 3
  8. 2024Promoting Constructive Deliberation: Reframing for Receptivenesscited by 3
  9. 2025Exploratory Study into Relations between Cognitive Distortions and Emotional Appraisalscited by 3
  10. 2023Emotion and Sentiment Guided Paraphrasingcited by 2
  11. 2023"Mistakes Help Us Grow": Facilitating and Evaluating Growth Mindset Supportive Language in Classroomscited by 2
  12. 2023Conversation Derailment Forecasting with Graph Convolutional Networkscited by 1
  13. 2024Task-Oriented Paraphrase Analyticscited by 1
  14. 2024Positive Text Reframing under Multi-strategy Optimizationcited by 1
  15. 2022Fine-Grained Emotional Paraphrasing along Emotion Gradientscited by 0
  16. 2024Demarked: A Strategy for Enhanced Abusive Speech Moderation through Counterspeech, Detoxification, and Message Managementcited by 0
  17. 2025Formalizing Style in Personal Narrativescited by 0
  18. 2026StageWell: A Process-Aligned Chinese Corpus for Positive-Psychology Support Dialoguecited by 0
  19. 2026Recognizing Is Not Reversing: A Controlled Inversion Test of Fact-Preserving News Framingcited by 0