@InProceedings{powiata:2019:S19-2,
  author    = {Poświata, Rafał},
  title     = {ConSSED at SemEval-2019 Task 3: Configurable Semantic and Sentiment Emotion Detector},
  booktitle = {Proceedings of the 13th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2019},
  address   = {Minneapolis, Minnesota, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {175--179},
  abstract  = {This paper describes our system participating in the SemEval-2019 Task 3: EmoContext: Contextual Emotion Detection in Text. The goal was to for a given textual dialogue, i.e. a user utterance along with two turns of context, identify the emotion of user utterance as one of the emotion classes: Happy, Sad, Angry or Others. Our system: ConSSED is a configurable combination of semantic and sentiment neural models. The official task submission achieved a micro-average F1 score of 75.31 which placed us 16th out of 165 participating systems.},
  url       = {http://www.aclweb.org/anthology/S19-2027}
}