@misc{https://doi.org/10.13012/b2idb-1917934_v1,<br/><span class="tab"></span>
  doi = {10.13012/B2IDB-1917934_V1},<br/><span class="tab"></span>
  url = {https://databank.illinois.edu/datasets/IDB-1917934},<br/><span class="tab"></span>
  author = {Mishra,<br/><span class="tab"></span> Shubhanshu},<br/><span class="tab"></span>
  keywords = {twitter,<br/><span class="tab"></span> deep learning,<br/><span class="tab"></span> machine learning,<br/><span class="tab"></span> trained models,<br/><span class="tab"></span> multi-task learning,<br/><span class="tab"></span> multi-dataset learning,<br/><span class="tab"></span> sentiment,<br/><span class="tab"></span> sarcasm,<br/><span class="tab"></span> abusive content},<br/><span class="tab"></span>
  title = {Trained models for multi-task multi-dataset learning for text classification in tweets},<br/><span class="tab"></span>
  publisher = {University of Illinois at Urbana-Champaign},<br/><span class="tab"></span>
  year = {2019},<br/><span class="tab"></span>
  copyright = {Creative Commons Attribution 4.0 International}
}