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View Code? Open in Web Editor NEWcode for CIKM'18 long paper, Explicit state tracking with semi-supervision for neural dialogue generation
License: MIT License
code for CIKM'18 long paper, Explicit state tracking with semi-supervision for neural dialogue generation
License: MIT License
Hi,
I'm confused about the role of function "shift" in your code. It seems that you put the generative probability of the z decoder backward one time-step through this function, which is later used to multiply with the z decoder output for the implicit copy score calculation. My question is why should the probability be put one step backward? Since the z decoder output at time t is used to calculate the probability of zt instead of z_(t-1), the shift operation is hard to understand.
However, when I tried to remove "shift", the performance dropped obviously and became much more unstable. Could you explain the principle behind this operation? Thanks!
in reader.py, class CamRest676Reader, i found the constraint variable in tokenized_dial only contain the inform slot but no request slot, that's different from the same file in project "sequicity", is there some reason to do like so?
In semi_sup_model.py, Line 153,
ev = CamRestEvaluator(cfg.result_path)
I think it should be:
if self.dataset == 'camrest':
ev = CamRestEvaluator(cfg.result_path)
elif self.dataset == 'kvret':
ev = KvretEvaluator(cfg.result_path)
Am I right?
Hi,
I tried to train the model with ubuntu dataset but the loss is very high at around 6-7 after 8,000 iterations. I keep the same settings but with small batch because I only have 1 GPU with limited memory. Can you please advise in this case? Thank you :)
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