mlsanityData to 7 Oct 2026

Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing

arXiv 2302.05039 ↗First posted 10 Feb 2023cs.CL cs.AIcited by 6

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Abstract (arXiv)

We develop models to classify desirable evidence and desirable reasoning revisions in student argumentative writing. We explore two ways to improve classifier performance - using the essay context of the revision, and using the feedback students received before the revision. We perform both intrinsic and extrinsic evaluation for each of our models and report a qualitative analysis. Our results show that while a model using feedback information improves over a baseline model, models utilizing context - either alone or with feedback - are the most successful in identifying desirable revisions.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 16 of its 38 references that are in the map. First posted on arXiv 10 Feb 2023.

Builds on

16 of 38 references.

References · 16

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2020Longformer: The Long-Document Transformercited by 3,362
  3. 2019EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Taskscited by 800
  4. 2019Classification and Clustering of Arguments with Contextualized Word Embeddingscited by 57
  5. 2022Understanding Iterative Revision from Human-Written Textcited by 56
  6. 2020AMPERSAND: Argument Mining for PERSuAsive oNline Discussionscited by 39
  7. 2019Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistancecited by 16
  8. 2014A Corpus of Sentence-level Revisions in Academic Writing: A Step towards Understanding Statement Strength in Communicationcited by 14
  9. 2021Learning From Revisions: Quality Assessment of Claims in Argumentation at Scalecited by 14
  10. 2019Annotation and Classification of Sentence-level Revision Improvementcited by 12
  11. 2021Annotation and Classification of Evidence and Reasoning Revisions in Argumentative Writingcited by 9
  12. 2022ArgRewrite V.2: an Annotated Argumentative Revisions Corpuscited by 9
4 more
  1. 2021"Laughing at you or with you": The Role of Sarcasm in Shaping the Disagreement Spacecited by 5
  2. 2022Revision for Concision: A Constrained Paraphrase Generation Taskcited by 4
  3. 2020A ReLU Dense Layer to Improve the Performance of Neural Networkscited by 3
  4. 2019Identifying Editor Roles in Argumentative Writing from Student Revision Historiescited by 2

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 1; 2025: 1; 2026: 2.

6 papers.

  1. 2024A Design Space for Intelligent and Interactive Writing Assistantscited by 76
  2. 2023Predicting the Quality of Revisions in Argumentative Writingcited by 7
  3. 2025Efficient Layer-wise LLM Fine-tuning for Revision Intention Predictioncited by 3
  4. 2023Learning from Auxiliary Sources in Argumentative Revision Classificationcited by 0
  5. 2026Intention-Adaptive LLM Fine-Tuning for Text Revision Generationcited by 0
  6. 2026Towards Cognitive Process-Aware Proactive Writing Supportcited by 0