mlsanityData to 7 Oct 2026

Text revision in Scientific Writing Assistance: An Overview

arXiv 2303.16726 ↗First posted 29 Mar 2023cs.CLcited by 5

Not on the map. Why?

Abstract (arXiv)

Writing a scientific article is a challenging task as it is a highly codified genre. Good writing skills are essential to properly convey ideas and results of research work. Since the majority of scientific articles are currently written in English, this exercise is all the more difficult for non-native English speakers as they additionally have to face language issues. This article aims to provide an overview of text revision in writing assistance in the scientific domain. We will examine the specificities of scientific writing, including the format and conventions commonly used in research articles. Additionally, this overview will explore the various types of writing assistance tools available for text revision. Despite the evolution of the technology behind these tools through the years, from rule-based approaches to deep neural-based ones, challenges still exist (tools' accessibility, limited consideration of the context, inexplicit use of discursive information, etc.)

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 10 of its 46 references that are in the map. First posted on arXiv 29 Mar 2023.

Builds on

10 of 46 references.

References · 10

  1. 2022Training language models to follow instructions with human feedbackcited by 15,712
  2. 2022Read, Revise, Repeat: A System Demonstration for Human-in-the-loop Iterative Text Revisioncited by 46
  3. 2020Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translationcited by 34
  4. 2022arXivEdits: Understanding the Human Revision Process in Scientific Writingcited by 26
  5. 2022Text Revision by On-the-Fly Representation Optimizationcited by 17
  6. 2019Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistancecited by 16
  7. 2022Learn To Remember: Transformer with Recurrent Memory for Document-Level Machine Translationcited by 16
  8. 2020Langsmith: An Interactive Academic Text Revision Systemcited by 13
  9. 2020Modeling Discourse Structure for Document-level Neural Machine Translationcited by 11
  10. 2022A baseline revisited: Pushing the limits of multi-segment models for context-aware translationcited by 11

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 0; 2025: 3; 2026: 1.

5 papers.