mlsanityData to 7 Oct 2026

Annotation and Classification of Evidence and Reasoning Revisions in Argumentative Writing

arXiv 2107.06990 ↗First posted 14 Jul 2021cs.CL cs.AI cs.LGcited by 9

Not on the map. Why?

Abstract (arXiv)

Automated writing evaluation systems can improve students' writing insofar as students attend to the feedback provided and revise their essay drafts in ways aligned with such feedback. Existing research on revision of argumentative writing in such systems, however, has focused on the types of revisions students make (e.g., surface vs. content) rather than the extent to which revisions actually respond to the feedback provided and improve the essay. We introduce an annotation scheme to capture the nature of sentence-level revisions of evidence use and reasoning (the `RER' scheme) and apply it to 5th- and 6th-grade students' argumentative essays. We show that reliable manual annotation can be achieved and that revision annotations correlate with a holistic assessment of essay improvement in line with the feedback provided. Furthermore, we explore the feasibility of automatically classifying revisions according to our scheme.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 3 of its 21 references that are in the map. First posted on arXiv 14 Jul 2021.

Builds on

3 of 21 references.

References · 3

  1. 2014A Corpus of Sentence-level Revisions in Academic Writing: A Step towards Understanding Statement Strength in Communicationcited by 14
  2. 2019Annotation and Classification of Sentence-level Revision Improvementcited by 12
  3. 2019eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writingcited by 5

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 4; 2024: 0; 2025: 2; 2026: 1.

9 papers.