When we increase the frequency threshold further to 25, the performance of the model has dropped compared with Char-BiLSTM-add-Word-LSTM-Word (g = 0.5, n = 1, θ = 15) as more frequent words are discarded.
we found a relatively small frequency threshold θ = 5 works quite effectively.