@InProceedings{dearden-baron:2018:S18-1,
  author    = {Dearden, Edward  and  Baron, Alistair},
  title     = {Lancaster at SemEval-2018 Task 3: Investigating Ironic Features in English Tweets},
  booktitle = {Proceedings of The 12th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {587--593},
  abstract  = {This paper describes the system we submitted to SemEval-2018 Task 3. The aim of the system is to distinguish between irony and non-irony in English tweets. We create a targeted feature set and analyse how different features are useful in the task of irony detection, achieving an F1-score of 0.5914. The analysis of individual features provides insight that may be useful in future attempts at detecting irony in tweets.},
  url       = {http://www.aclweb.org/anthology/S18-1096}
}