@InProceedings{alswaidan-menai:2019:S19-2,
  author    = {Alswaidan, Nourah  and  Menai, Mohamed El Bachir},
  title     = {KSU at SemEval-2019 Task 3: Hybrid Features for Emotion Recognition in Textual Conversation},
  booktitle = {Proceedings of the 13th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2019},
  address   = {Minneapolis, Minnesota, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {247--250},
  abstract  = {We proposed a model to address emotion recognition in textual conversation based on using automatically extracted features and human engineered features. The proposed model utilizes a fast gated-recurrent-unit backed by CuDNN, and a convolutional neural network to automatically extract features. The human engineered features take the frequency-inverse document frequency of semantic meaning and mood tags extracted from SinticNet.},
  url       = {http://www.aclweb.org/anthology/S19-2041}
}