@InProceedings{paetzold:2018:WASSA2018,
  author    = {Paetzold, Gustavo},
  title     = {UTFPR at IEST 2018: Exploring Character-to-Word Composition for Emotion Analysis},
  booktitle = {Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis},
  month     = {October},
  year      = {2018},
  address   = {Brussels, Belgium},
  publisher = {Association for Computational Linguistics},
  pages     = {176--181},
  abstract  = {We introduce the UTFPR system for the Implicit Emotions Shared Task of 2018: A compositional character-to-word recurrent neural network that does not exploit heavy and/or hard-to-obtain resources. We find that our approach can outperform multiple baselines, and offers an elegant and effective solution to the problem of orthographic variance in tweets.},
  url       = {http://aclweb.org/anthology/W18-6224}
}