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View Code? Open in Web Editor NEWPyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'
License: MIT License
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alexdevmotion madjura saurabhshirodkar dubuisa adrenalinovaya madrugado u-brixton lizy10 gwynny shikhar-s autwindabae-pytorch's Issues
RuntimeError after training the model
For me, even using example_run.sh, it fails in the _reconstruction_loss method, after the model finished training.
I tried with other datasets as well and it also fails at the same matrix multiplication.
Traceback (most recent call last):
File "main.py", line 88, in <module>
y_pred = model(x, negative_samples)
File "/home/alex/.conda/envs/fastai/lib/python3.7/site-packages/torch/nn/modules/module.py", line 547, in __call__
result = self.forward(*input, **kwargs)
File "/usr/local/workspace_common/Data-Science/named_entity_recognition/abae_pytorch/model.py", line 109, in forward
averaged_negative_samples)
File "/usr/local/workspace_common/Data-Science/named_entity_recognition/abae_pytorch/model.py", line 118, in _reconstruction_loss
negative_dot_products = torch.matmul(averaged_negative_emb, recovered_emb.unsqueeze(2)).squeeze()
RuntimeError: The size of tensor a (50) must match the size of tensor b (39) at non-singleton dimension 0
Aspects prediction on text + visualization, Saving model
i'm working on aspect extraction, could you please guide for Aspect prediction and Saving model production.
how to get the aspects from the trained model and domain dataset?
I used the trained model ,which was saved during training. The code is
model = torch.load("xxxxx/xxxxx.bin")
aspects = model.get_aspect_words(w2v_model, logger,topn=10)
Is this the right way to get the aspects ?
thank you very much.
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