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Scholarly literature mining with information retrieval and natural language processing: Preface

Author

Listed:
  • Guillaume Cabanac

    (University of Toulouse)

  • Ingo Frommholz

    (University of Bedfordshire)

  • Philipp Mayr

    (GESIS – Leibniz Institute for the Social Sciences)

Abstract

No abstract is available for this item.

Suggested Citation

  • Guillaume Cabanac & Ingo Frommholz & Philipp Mayr, 2020. "Scholarly literature mining with information retrieval and natural language processing: Preface," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2835-2840, December.
    • Handle: RePEc:spr:scient:v:125:y:2020:i:3:d:10.1007_s11192-020-03763-4
    DOI: 10.1007/s11192-020-03763-4
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    References listed on IDEAS

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    1. Guillaume Cabanac & Ingo Frommholz & Philipp Mayr, 2018. "Bibliometric-enhanced information retrieval: preface," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1225-1227, August.
    2. Adam Palayew & Ole Norgaard & Kelly Safreed-Harmon & Tue Helms Andersen & Lauge Neimann Rasmussen & Jeffrey V. Lazarus, 2020. "Pandemic publishing poses a new COVID-19 challenge," Nature Human Behaviour, Nature, vol. 4(7), pages 666-669, July.
    3. Philipp Mayr & Andrea Scharnhorst, 2015. "Combining bibliometrics and information retrieval: preface," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2191-2192, March.
    4. Diana Kwon, 2020. "How swamped preprint servers are blocking bad coronavirus research," Nature, Nature, vol. 581(7807), pages 130-131, May.
    Full references (including those not matched with items on IDEAS)

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