@misc{https://doi.org/10.5281/zenodo.5847335,<br/><span class="tab"></span>
  doi = {10.5281/ZENODO.5847335},<br/><span class="tab"></span>
  url = {https://zenodo.org/record/5847335},<br/><span class="tab"></span>
  author = {{Bolun "Namir" Xia} and Rawte,<br/><span class="tab"></span> Vipula D. and Gupta,<br/><span class="tab"></span> Aparna and Zaki,<br/><span class="tab"></span> Mohammed J.},<br/><span class="tab"></span>
  keywords = {text regression,<br/><span class="tab"></span> language models,<br/><span class="tab"></span> long text documents,<br/><span class="tab"></span> natural language processing,<br/><span class="tab"></span> text mining,<br/><span class="tab"></span> machine learning,<br/><span class="tab"></span> information extraction,<br/><span class="tab"></span> financial documents,<br/><span class="tab"></span> 10-K reports},<br/><span class="tab"></span>
  title = {Saved Weights of Best Frozen Models for FETILDA on the US Bank Dataset},<br/><span class="tab"></span>
  publisher = {Zenodo},<br/><span class="tab"></span>
  year = {2022},<br/><span class="tab"></span>
  copyright = {Creative Commons Attribution 4.0 International}
}