spro/pytorch-seq2seq-intent-parsing

Intent parsing and slot filling in PyTorch with seq2seq + attention

pytorch-seq2seq-intent-parsing's Issues

Please add proper documentation

intent and slot joint detection

hey spro,

Thanks for sharing many Pytorch tutorials in NLP, the code is clean and really helps.

I am wondering is there a plan for you to release the intent and slot joint detection in this project ?
if it's possible, that would be great.

Have a good day. :）

Index 1 is out of range

Hi Sean,
Thanks for making this open source! I have been working on a similar implementation in tensorflow, and wanted to port to pytorch. To this end, I was checking out your project to try to learn how to do it, and I came upon the following error right away. Do you have an idea of what's going on here?
I am obviously very new to pytorch, so even basic suggestions could be helpful.
(also note that you have to use 0.1.1 of torchtext for this to work.)

output lang = DictionaryLang(size = 41)
  0%|          | 0/1193514 [00:00<?, ?it/s]Loading word vectors from /Users/thomas/Downloads/glove.twitter.27B/glove.twitter.27B.100d.txt
100%|██████████| 1193514/1193514 [03:48<00:00, 5215.09it/s]
input lang = GloVeLang(size = 100)
Training for 200 epochs...
Traceback (most recent call last):
  File "/Applications/PyCharm.app/Contents/helpers/pydev/pydevd.py", line 1596, in <module>
    globals = debugger.run(setup['file'], None, None, is_module)
  File "/Applications/PyCharm.app/Contents/helpers/pydev/pydevd.py", line 1023, in run
    pydev_imports.execfile(file, globals, locals)  # execute the script
  File "/Users/thomas/projects/apollo/torchtest/pytorch-seq2seq-intent-parsing/train.py", line 83, in <module>
    loss = train(input_variable, target_variable)
  File "/Users/thomas/projects/apollo/torchtest/pytorch-seq2seq-intent-parsing/train.py", line 48, in train
    decoder_output, decoder_hidden, decoder_attention = decoder(decoder_input, decoder_hidden, encoder_outputs)
  File "/Library/Python/2.7/site-packages/torch/nn/modules/module.py", line 224, in __call__
    result = self.forward(*input, **kwargs)
  File "/Users/thomas/projects/apollo/torchtest/pytorch-seq2seq-intent-parsing/model.py", line 59, in forward
    rnn_output, hidden = self.gru(word_embedded, last_hidden)
  File "/Library/Python/2.7/site-packages/torch/nn/modules/module.py", line 224, in __call__
    result = self.forward(*input, **kwargs)
  File "/Library/Python/2.7/site-packages/torch/nn/modules/rnn.py", line 162, in forward
    output, hidden = func(input, self.all_weights, hx)
  File "/Library/Python/2.7/site-packages/torch/nn/_functions/rnn.py", line 351, in forward
    return func(input, *fargs, **fkwargs)
  File "/Library/Python/2.7/site-packages/torch/nn/_functions/rnn.py", line 244, in forward
    nexth, output = func(input, hidden, weight)
  File "/Library/Python/2.7/site-packages/torch/nn/_functions/rnn.py", line 84, in forward
    hy, output = inner(input, hidden[l], weight[l])
  File "/Library/Python/2.7/site-packages/torch/autograd/variable.py", line 76, in __getitem__
    return Index.apply(self, key)
  File "/Library/Python/2.7/site-packages/torch/autograd/_functions/tensor.py", line 16, in forward
    result = i.index(ctx.index)
IndexError: index 1 is out of range for dimension 0 (of size 1)

Freeform variables

Hello Sean,

First of all, thank you so much for open sourcing your code in torch7/pytorch. I have a simple question for you: When do you plan to port the freeform variables capability ?

Thanks again

on which paper this project based