www.icact.org

Member Login

Welcome Message

Statistics & History

Committee

TACT Journal Homepage

Call for Paper

Paper Submission

Find My Paper

Author Homepage

Paper Procedure

FAQ

Registration & Invoice

Paper Archives

Outstanding Papers

Program & Proceedings

Presentation Platform

Hotel & Travel Info

Photo Gallery

Scheduler Login

Seminar

Archives Login

Sponsors

Virual Oral Question and Answer


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.

Select Voice