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NewsEdits: A Dataset of Revision Histories for News Articles (Technical Report: Data Processing)

arXiv 2104.09647 ↗First posted 19 Apr 2021cs.CL cs.DLcited by 2

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Abstract (arXiv)

News article revision histories have the potential to give us novel insights across varied fields of linguistics and social sciences. In this work, we present, to our knowledge, the first publicly available dataset of news article revision histories, or NewsEdits. Our dataset is multilingual; it contains 1,278,804 articles with 4,609,430 versions from over 22 English- and French-language newspaper sources based in three countries. Across version pairs, we count 10.9 million added sentences; 8.9 million changed sentences and 6.8 million removed sentences. Within the changed sentences, we derive 72 million atomic edits. NewsEdits is, to our knowledge, the largest corpus of revision histories of any domain.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 11 of its 59 references that are in the map. First posted on arXiv 19 Apr 2021.

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11 of 59 references.

References · 11

  1. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  2. 2019ALBERT: A Lite BERT for Self-supervised Learning of Language Representationscited by 2,772
  3. 2017Style Transfer in Text: Exploration and Evaluationcited by 145
  4. 2018A Multi-Axis Annotation Scheme for Event Temporal Relationscited by 73
  5. 2018Learning to Represent Editscited by 34
  6. 2019Automatic Fact-guided Sentence Modificationcited by 28
  7. 2019Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognitioncited by 28
  8. 2018WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discoursecited by 26
  9. 2019Collaboration Drives Individual Productivitycited by 2
  10. 2020Identifying Distributional Perspective Differences from Colingual Groupscited by 2
  11. 2021Multitask Learning for Class-Imbalanced Discourse Classificationcited by 2

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Citing papers per year: 2022: 1; 2023: 0; 2024: 1.

2 papers.