LSTM-CRF
LSTM-CRF copied to clipboard
A (CNN+)RNN(LSTM/BiLSTM)+CRF model for sequence labelling.:smirk:
How do you combine feature templates with neural networks?
thank you share your code, can you share your data with us.
The CNN-BiLSTM+CRF model has some problems with network structure. It will be fixed in the next few versions.
how can I close embeddings?
where is the dataset? thank you.
In `hybrid_model.py`, you add `feature template`, if I am right, the implementation is [line 116](https://github.com/heshenghuan/LSTM-CRF/blob/master/hybrid_model.py#L116), ``` scores = feat_sum + tf.matmul(outputs, self.W) + self.b ``` where `feat_sum` is defined as:...
Don't use tf.softmax before you sent the scores to TF's crf API. I found that could cause a sharp drop in performance.