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ShortScience.org

From EverybodyWiki Bios & Wiki

ShortScience.org, founded in 2017, is a project of the Institute for Reproducible Research (a 501(c)3 U.S. non-profit corporation).[1][2][3] ShortScience.org is an open platform for publishing summaries of scientific papers.[4][5][6] The platform claims "summaries contain the perspective and insight of other readers, why they liked or disliked it, and their attempt to demystify complicated sections".[7] As of May 2020, the platform contains 1508 public summaries.[1]

Use as a research dataset[edit]

The summaries from this site have been used as a dataset in research to perform automatic summarization. The summaries were used "to characterize human summaries of scientific papers, and use some of the insights obtained to improve and adapt existing automatic summarization systems to the domain of scientific papers".[4][8] This work discusses that existing summarization methods often produce abstract like summaries which are not ideal because they " are lacking other summarization constructs used by humans such as headlines and figures" which are present in the ShortScience.org dataset.

References[edit]

  1. 1.0 1.1 "ShortScience.org Website". Retrieved 5 May 2020.
  2. "Institute for Reproducible Research Webpage". Retrieved 4 May 2020.
  3. "Tax Exempt Organization Search". United States IRS. Retrieved 4 May 2020.
  4. 4.0 4.1 Boni, Odellia (10 Feb 2020). "A Study of Human Summaries of Scientific Articles". Arxiv. arXiv:2002.03604.
  5. Bakshi, Kirti (1 Sep 2018). "Shortscience.Org Allows Researchers To Publish Paper Summaries That Are Voted On And Ranked!". Retrieved 6 May 2020.
  6. "How to Find New Things to Learn". Linear Digressions Podcast. 14 May 2017. Retrieved 6 May 2020.
  7. Cohen, Joseph Paul; Lo, Henry (20 Jul 2017). "ShortScience.org - Reproducing Intuition". International Conference on Machine Learning (ICML) 2017 Workshop on Reproducibility in Machine Learning. arXiv:1707.06684.
  8. Feigenblat, Guy (6 May 2020). "LongSumm - Scientific Document Summarization Task". GitHub. Retrieved 18 May 2020.


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