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Overview and Insights from Scope Detection of the Peer Review Articles Shared Tasks 2021

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Trends and Applications in Knowledge Discovery and Data Mining (PAKDD 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12705))

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Abstract

In the current paper, we will present the results of our shared task at The First Workshop & Shared Task on Scope Detection of the Peer Review Articles (SDPRA) collocated with PAKDD 2021. It aims to develop system(s) which can help in the peer-review process in the initial screening usually performed by the editor(s). We received four submissions in total: three from academic institutions and one from the industry. The quality of submission shows a greater interest in the task by the research community.

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Notes

  1. 1.

    https://scholar.google.com/.

  2. 2.

    https://dblp.uni-trier.de/.

  3. 3.

    https://github.com/SDPRA-2021/shared-task.

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Acknowledgment

We would like to thanks all steering committee members, Pushpak Bhattacharyya (IIT Bombay), Antoine Doucet (Universite de La Rochelle), Sriparna Saha (IIT Patna), Jose G Moreno (Universite de Toulouse, IRIT), Adam Jatowt (Kyoto University), Anita de Waard (Elsevier), Gael Dias (University of Caen Normandie) for their support. We are also thankful to all the members of our program committee for their time and valuable inputs.

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Authors and Affiliations

  1. Indian Institute of Information Technology Bhagalpur, Bhagalpur, Bihar, India

    Saichethan Miriyala Reddy

  2. Université Toulouse III - Paul Sabatier, IRIT, UMR 5505 CNRS, Toulouse, France

    Naveen Saini

Authors
  1. Saichethan Miriyala Reddy
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  2. Naveen Saini
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Corresponding author

Correspondence to Naveen Saini .

Editor information

Editors and Affiliations

  1. Microsoft, Hyderabad, India

    Manish Gupta

  2. Indian Institute of Technology Bombay, Mumbai, India

    Ganesh Ramakrishnan

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Reddy, S.M., Saini, N. (2021). Overview and Insights from Scope Detection of the Peer Review Articles Shared Tasks 2021. In: Gupta, M., Ramakrishnan, G. (eds) Trends and Applications in Knowledge Discovery and Data Mining. PAKDD 2021. Lecture Notes in Computer Science(), vol 12705. Springer, Cham. https://doi.org/10.1007/978-3-030-75015-2_7

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  • DOI: https://doi.org/10.1007/978-3-030-75015-2_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-75014-5

  • Online ISBN: 978-3-030-75015-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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