Learning to Cite: Transfer Learning for Digital Archives

  • Dennis Dosso
  • Guido Setti
  • Gianmaria SilvelloEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 988)


We consider the problem of automatically creating citations for digital archives. We focus on the learning to cite framework that allows us to create citations without users or experts in the loop. In this work, we study the possibility of learning a citation model on one archive and then applying the model to another archive that has never been seen before by the system.



The work was partially funded by the “Computational Data Citation” (CDC) STARS-StG project of the University of Padua.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Information EngineeringUniversity of PaduaPaduaItaly
  2. 2.Department of MathematicsUniversity of PaduaPaduaItaly

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