@InProceedings{hernndezfaras-EtAl:2018:S18-1,
  author    = {Hernández Farías, Delia Irazú  and  Sánchez-Vega, Fernando  and  Montes-y-Gómez, Manuel  and  Rosso, Paolo},
  title     = {INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter},
  booktitle = {Proceedings of The 12th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {594--599},
  abstract  = {This paper describes an ensemble approach to the SemEval-2018 Task 3. The proposed method is composed of two renowned methods in text classification together with a novel approach for capturing ironic content by exploiting a tailored lexicon for irony detection. We experimented with different ensemble settings. The obtained results show that our method has a good performance for detecting the presence of ironic content in Twitter.},
  url       = {http://www.aclweb.org/anthology/S18-1097}
}