skip-thoughts
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ryankiros
Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"
how can i know the encoding abilitiy of encoder after trainning the encoder?the cost is still fluxuate a lot.@ryankiros. Looking forward to your reply!
training script is able to restore the model using the three files: model.ckpt.meta, model.ckpt.index and model.ckpt.data-00000-of-00001 from the latest checkpoint but the vocabulary expansion script throws the IOException error stating...
  The code snippet in "training/layers.py" and "skipthoughts.py" doesn't match the formulas in the paper, should it be modified as ```python preactx = tensor.dot(h_ * r, Ux) preactx =...
Upon running the load_model function in the decoding package with both the uni_skip and bi_skip models provided, I get the following error: `Traceback (most recent call last):` ` File "",...
When we train with source sentences against target senteces ``` import train train.trainer(X, C, skmodel) ``` the samples are seen and some form of decoding is done. How can I...
Hi. Thanks very very much for your skip-thought vector. I can use encode() function with downloaded data(utable.npy, btable.npy, uni_skip.npz, etc.). And now, I want to decode my encoded sentences with...
Is there a decoder for generating sentences near(semantically) to a given sentence X?
I am having a problem while encoding sentences on windows platform. Is it because of the pre-trained model weights? How can I solve it?
I was training skip-thought model with my own data following the README in training directory. But I encountered TypeError and I'm not familiar with Theano, so I don't know how...
