mlsanityData to 7 Oct 2026

ENTRUST: Argument Reframing with Language Models and Entailment

arXiv 2103.06758 ↗First posted 11 Mar 2021cs.CL cs.AIcited by 10

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Abstract (arXiv)

Framing involves the positive or negative presentation of an argument or issue depending on the audience and goal of the speaker (Entman 1983). Differences in lexical framing, the focus of our work, can have large effects on peoples' opinions and beliefs. To make progress towards reframing arguments for positive effects, we create a dataset and method for this task. We use a lexical resource for "connotations" to create a parallel corpus and propose a method for argument reframing that combines controllable text generation (positive connotation) with a post-decoding entailment component (same denotation). Our results show that our method is effective compared to strong baselines along the dimensions of fluency, meaning, and trustworthiness/reduction of fear.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 33 of its 59 references that are in the map. First posted on arXiv 11 Mar 2021.

Builds on

33 of 59 references.

References · 33

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21 more
  1. 2013Crowdsourcing a Word-Emotion Association Lexiconcited by 193
  2. 2018Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfercited by 191
  3. 2019Fine-Grained Analysis of Propaganda in News Articlescited by 130
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  15. 2020We Don't Speak the Same Language: Interpreting Polarization through Machine Translationcited by 23
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Cited by year

Citing papers per year: 2021: 2; 2022: 3; 2023: 3; 2024: 2.

10 papers.

  1. 2023Benefits and Harms of Large Language Models in Digital Mental Healthcited by 39
  2. 2022Inducing Positive Perspectives with Text Reframingcited by 31
  3. 2022Text Revision by On-the-Fly Representation Optimizationcited by 17
  4. 2023The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Biascited by 11
  5. 2023ArgU: A Controllable Factual Argument Generatorcited by 7
  6. 2021From Theories on Styles to their Transfer in Text: Bridging the Gap with a Hierarchical Surveycited by 5
  7. 2021Controlled Neural Sentence-Level Reframing of News Articlescited by 4
  8. 2024Argument Quality Assessment in the Age of Instruction-Following Large Language Modelscited by 4
  9. 2022Claim Optimization in Computational Argumentationcited by 3
  10. 2024Promoting Constructive Deliberation: Reframing for Receptivenesscited by 3