This is because with a large number of character types (e.g., 2000 frequently used characters in Japanese), it is difficult to calculate high quality character embeddings.
we propose a modification to the existing LSTM+CNN+CRF network architecture to alleviate this problem: We remove the CNN layer from the LSTM+CNN+CRF+Dict method to have the LSTM+CRF+Dict method.