A Corpus of Sentence-level Revisions in Academic Writing: A Step towards Understanding Statement Strength in Communication
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Abstract (arXiv)
The strength with which a statement is made can have a significant impact on the audience. For example, international relations can be strained by how the media in one country describes an event in another; and papers can be rejected because they overstate or understate their findings. It is thus important to understand the effects of statement strength. A first step is to be able to distinguish between strong and weak statements. However, even this problem is understudied, partly due to a lack of data. Since strength is inherently relative, revisions of texts that make claims are a natural source of data on strength differences. In this paper, we introduce a corpus of sentence-level revisions from academic writing. We also describe insights gained from our annotation efforts for this task.
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 May 2014.
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Citing papers per year: 2021: 4; 2022: 3; 2023: 3; 2024: 3; 2025: 0; 2026: 1.
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- 2022arXivEdits: Understanding the Human Revision Process in Scientific Writingcited by 26
- 2021Automated scholarly paper review: Concepts, technologies, and challengescited by 21
- 2021Neural semi-Markov CRF for Monolingual Word Alignmentcited by 15
- 2022Modeling Information Change in Science Communication with Semantically Matched Paraphrasescited by 14
- 2021MOVER: Mask, Over-generate and Rank for Hyperbole Generationcited by 13
- 2024Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revisioncited by 11
- 2024Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Futurecited by 10
- 2021Annotation and Classification of Evidence and Reasoning Revisions in Argumentative Writingcited by 9
- 2022ArgRewrite V.2: an Annotated Argumentative Revisions Corpuscited by 9
- 2024Can Large Language Models Detect Misinformation in Scientific News Reporting?cited by 9
- 2023Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writingcited by 6
- 2023Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answeringcited by 2
- 2026EarlySciRev: A Dataset of Early-Stage Scientific Revisions Extracted from LaTeX Writing Traces30 Mar 2026
- 2024Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision31 May 2024
- 2024Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future28 Feb 2024
- 2024Can Large Language Models Detect Misinformation in Scientific News Reporting?22 Feb 2024
- 2023Learning from Auxiliary Sources in Argumentative Revision Classification13 Sep 2023
- 2023Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering12 Feb 2023
- 2023Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing10 Feb 2023
- 2022arXivEdits: Understanding the Human Revision Process in Scientific Writing26 Oct 2022
- 2022Modeling Information Change in Science Communication with Semantically Matched Paraphrases24 Oct 2022
- 2022ArgRewrite V.2: an Annotated Argumentative Revisions Corpus3 Jun 2022
- 2021Automated scholarly paper review: Concepts, technologies, and challenges15 Nov 2021
- 2021MOVER: Mask, Over-generate and Rank for Hyperbole Generation16 Sep 2021
- 2022arXivEdits: Understanding the Human Revision Process in Scientific Writingcited by 26
- 2021Automated scholarly paper review: Concepts, technologies, and challengescited by 21
- 2021Neural semi-Markov CRF for Monolingual Word Alignmentcited by 15
- 2022Modeling Information Change in Science Communication with Semantically Matched Paraphrasescited by 14
- 2021MOVER: Mask, Over-generate and Rank for Hyperbole Generationcited by 13
- 2024Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revisioncited by 11
- 2024Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Futurecited by 10
- 2021Annotation and Classification of Evidence and Reasoning Revisions in Argumentative Writingcited by 9
- 2022ArgRewrite V.2: an Annotated Argumentative Revisions Corpuscited by 9
- 2024Can Large Language Models Detect Misinformation in Scientific News Reporting?cited by 9
- 2023Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writingcited by 6
- 2026EarlySciRev: A Dataset of Early-Stage Scientific Revisions Extracted from LaTeX Writing Tracescited by 1
12 most cited of 13 All 13 (JSON)
- 2026EarlySciRev: A Dataset of Early-Stage Scientific Revisions Extracted from LaTeX Writing Traces30 Mar 2026
- 2024Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision31 May 2024
- 2024Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future28 Feb 2024
- 2024Can Large Language Models Detect Misinformation in Scientific News Reporting?22 Feb 2024
- 2023Learning from Auxiliary Sources in Argumentative Revision Classification13 Sep 2023
- 2023Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing10 Feb 2023
- 2022arXivEdits: Understanding the Human Revision Process in Scientific Writing26 Oct 2022
- 2022Modeling Information Change in Science Communication with Semantically Matched Paraphrases24 Oct 2022
- 2022ArgRewrite V.2: an Annotated Argumentative Revisions Corpus3 Jun 2022
- 2021Automated scholarly paper review: Concepts, technologies, and challenges15 Nov 2021
- 2021MOVER: Mask, Over-generate and Rank for Hyperbole Generation16 Sep 2021
- 2021Annotation and Classification of Evidence and Reasoning Revisions in Argumentative Writing14 Jul 2021
12 newest of 13 All 13 (JSON)