For the neural networks models, similar to the results on the IAC v2 data set, the LSTM models that read both the context and the current turn outperform the LSTM model that reads only the current turn (LSTM ct ).
unlike the IAC v2 corpus, for Twitter, we observe that for the LSTM without attention, the single LSTM architecture (i.e., LSTM ct+pt ) performs better, that is, 72% F1 between the sarcastic and non-sarcastic category (average), which is around 4 percentage points better than the multiple LSTMs (i.e., LSTM ct +LSTM pt ).