Open ttslr opened 6 years ago
Description in README.md
Note that this published code does not include the modeling of output label dependencies. One may add a loop function as in the rnn_decoder function in TensorFlow seq2seq.py example to feed emitted label embedding back to RNN state. Alternatively, sequence level optimization can be performed by adding a CRF layer on top of the RNN outputs.
Excuse me! I have read the paper, and find the current predicted tag was pointed to the next step as described in Figure3.
But in this code, I cant find any code about this operation.
Is your picture wrong?
Looking forward your reply! Thank you very much!