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IEEE/ICACT20230209 Question.2 Questioner: hbw017@mail.sdu.edu.cn 2023-02-22 오후 6:45:41	IEEE/ICACT20230209 Answer.2 Answer by Auhor saby9996@terenz.ai 2023-02-22 오후 6:45:41
Hello, author. In your paper, BERT is used for language training. Does this model have any advantages over traditional RNN and LSTM? As far as I know, the BERT model needs to set more model parameters and training steps. I would like to ask if you have improved the BERT model. Thank you!	Thanks a Lot for your Question. Actually you gave the answer. As the BERT Model needs more model parameters therefore, the depth of understanding is normally higher than traditional RNN and LSTM. We did not use Pretrained Weights of Bert and hence trained the Language Model based on our data.

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