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I'm googling a lot of example of BiLSTM-CRF
but can't find an example one to do BiLSTM-CRF on tensorflow 2.2+
I also try to import from tensorflow_addons.layers import CRF
but it can't find CRF
The text was updated successfully, but these errors were encountered:
Have you looked at https://stackoverflow.com/questions/59019290/how-to-add-crf-layer-in-a-tensorflow-sequential-model?
Sorry, something went wrong.
This could be also a duplicate of: #337 #1769
Yes, I'm looking on that one already
Here is what I try to implement
CRF
log_likelihood, self.transition_params = tfa.text.crf_log_likelihood(logits, label_sequences, text_lens, transition_params=self.transition_params)
And decode as
viterbi_path, _ = tfa.text.viterbi_decode(logit, model.transition_params)
But the result seem incorrect (all possibility go from 'O' -> 'O' when decode (try to do NER)
I'm not sure that I implement it correct or not
There are already two tickets about CRF example/documentation request. Please post there.
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I'm googling a lot of example of BiLSTM-CRF
but can't find an example one to do BiLSTM-CRF on tensorflow 2.2+
I also try to import
from tensorflow_addons.layers import CRF
but it can't find CRF
The text was updated successfully, but these errors were encountered: