Both CNN-LSTM-DNN (Ghosh and Veale, 2016) and GRNN (Zhang et al., 2016) are state-ofthe-art models for document-level sarcasm detection and have outperformed numerous neural and non-neural baselines.
both works have well surpassed feature-based models (Support Vector Machines, etc.