ADEM
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Yoctol
TOWARDS AN AUTOMATIC TURING TEST: LEARNING TO EVALUATE DIALOGUE RESPONSES
line 18 in model_adem_with_encoder.py self.vocab_size, self.embed_size = self.init_embedding.shape maybe it is self.vocab_size, self.embedding_size = self.init_embedding.shape
How do you deal with the data ? 10, 200,100,120 in the following code , how did you treat dialogue to become such number? self.batch_size = 10 self.context_dim = 200...
Where is the dataset?Can you send me a copy of the data set used?Thank you my Email:[email protected]
- [ ] context, model_response, reference_response can have different dim of vector representation in `adem_with_encoder.py` - [ ] add configs (yml) : model config, train config - [ ] add...