def build_BiLSTM_CNN_CRF(incoming1,
incoming2,
incoming3,
incoming4,
num_units,
num_labels,
mask=None,
grad_clipping=0,
precompute_input=True,
peepholes=False,
num_filters=20,
dropout=True,
in_to_out=False):
bi_lstm_cnn = build_BiLSTM_CNN(
incoming1,
incoming2,
incoming3,
incoming4,
num_units,
mask=mask,
grad_clipping=grad_clipping,
precompute_input=precompute_input,
peepholes=peepholes,
num_filters=num_filters,
dropout=dropout,
in_to_out=in_to_out)
return CRFLayer(bi_lstm_cnn, num_labels, mask_input=mask)
def build_BiLSTM_LSTM_CRF(incoming1,
incoming2,
layer_mask_slice,
num_units_word,
num_units_char,
num_labels,
mask=None,
mask_c=None,
grad_clipping=0,
precompute_input=True,
peepholes=False,
dropout=True,
in_to_out=False):
bi_lstm_lstm = build_BiLSTM_LSTM(incoming1,
incoming2,
layer_mask_slice,
num_units_word,
num_units_char,
mask=mask,
mask_c=mask_c,
grad_clipping=grad_clipping,
precompute_input=precompute_input,
peepholes=peepholes,
dropout=dropout,
in_to_out=in_to_out)
#print bi_lstm_lstm.output_shape
return CRFLayer(bi_lstm_lstm, num_labels, mask_input=mask)
def build_BiLSTM_CRF(incoming,
num_units,
num_labels,
mask=None,
grad_clipping=0,
precompute_input=True,
peepholes=False,
dropout=True,
in_to_out=False):
bi_lstm = build_BiLSTM(incoming,
num_units,
mask=mask,
grad_clipping=grad_clipping,
precompute_input=precompute_input,
peepholes=peepholes,
dropout=dropout,
in_to_out=in_to_out)
return CRFLayer(bi_lstm, num_labels, mask_input=mask)