a-PyTorch-Tutorial-to-Sequence-Labeling

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Prediction

1

Thanks for your code. Could you please add a section for prediction using the trained weights ?

harirajeev

Getting the following error. Did someone face the same? ``` Embedding length is 100. You have elected to include embeddings that are out-of-corpus. Loading embeddings... Traceback (most recent call last):...

Salidor

in models.py line 184 ` :param cmap_lengths: character sequence lengths, a tensor of dimensions (batch_size, word_pad_len)` the shape of cmap_lengths should be (batch_size)?

clelouch

ViterbiDecoder pads <start> tag instead of <end> tag in end of sequence

1

In [inference.py](https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Sequence-Labeling/blob/master/inference.py) line 60, **self.start_tag** should be **self.end_tag**

cj-bayron-cg

Thank you for the tutorial, it is very easy to follow. However, I am unable to replicate the results as mentioned in the tutorial. I attempted to use the checkpoint...

khyathiraghavi

As of PyTorch 1.1.0, the inputs to `pack_padded_sequence` do not need to be sorted by length if `enforce_sorted=False`: https://pytorch.org/docs/master/nn.html#torch.nn.utils.rnn.pack_padded_sequence > enforce_sorted (bool, optional) – if True, the input is expected...

eridgd

inquiry in log-sum-exp(all scores) - gold score

1

Hi, Thanks for the great explanation. I am wondering if I want to calculate partial CRF (http://aclweb.org/anthology/C18-1183)where we have some gold tag for some token and all possible tags for...

nooralahzadeh

#6

mbbeaubi