learning rate of the embedding layer

[xiaomengyc]

I implemented this network in Keras, but got very bad results. After looking for the differences with your Theano codes, I found that you set the learning rate of embedding layer as a very big value 80.
options['w_emb_lr'] = numpy.float32(80)
I tried to comment this line and the results of your Theano version dropped. It turns out this option is very important. Could you please explain the reason for this option? I will be grateful if you could give a suggestion of a paper related to this issue!
Thank you very much!