@article{https://doi.org/10.48550/arxiv.2110.08874,<br/><span class="tab"></span>
  doi = {10.48550/ARXIV.2110.08874},<br/><span class="tab"></span>
  url = {https://arxiv.org/abs/2110.08874},<br/><span class="tab"></span>
  author = {Škrlj,<br/><span class="tab"></span> Blaž and Jukič,<br/><span class="tab"></span> Marko and Eržen,<br/><span class="tab"></span> Nika and Pollak,<br/><span class="tab"></span> Senja and Lavrač,<br/><span class="tab"></span> Nada},<br/><span class="tab"></span>
  keywords = {Information Retrieval (cs.IR),<br/><span class="tab"></span> Computation and Language (cs.CL),<br/><span class="tab"></span> Digital Libraries (cs.DL),<br/><span class="tab"></span> FOS: Computer and information sciences,<br/><span class="tab"></span> FOS: Computer and information sciences},<br/><span class="tab"></span>
  title = {Prioritization of COVID-19-related literature via unsupervised keyphrase extraction and document representation learning},<br/><span class="tab"></span>
  publisher = {arXiv},<br/><span class="tab"></span>
  year = {2021},<br/><span class="tab"></span>
  copyright = {Creative Commons Attribution 4.0 International}
}