def __init__(self):
super().__init__(
inputter=inputters.MixedInputter(
[
inputters.WordEmbedder(embedding_size=100),
inputters.CharConvEmbedder(
embedding_size=30,
num_outputs=30,
kernel_size=3,
stride=1,
dropout=0.5,
),
],
dropout=0.5,
),
encoder=encoders.RNNEncoder(
num_layers=1,
num_units=400,
bidirectional=True,
dropout=0.5,
residual_connections=False,
cell_class=tf.keras.layers.LSTMCell,
),
crf_decoding=True,
)
def __init__(self):
# pylint: disable=bad-continuation
super(LstmCnnCrfTagger, self).__init__(
inputter=inputters.MixedInputter([
inputters.WordEmbedder(embedding_size=100),
inputters.CharConvEmbedder(embedding_size=30,
num_outputs=30,
kernel_size=3,
stride=1,
dropout=0.5)
],
dropout=0.5),
encoder=encoders.RNNEncoder(num_layers=1,
num_units=400,
bidirectional=True,
dropout=0.5,
residual_connections=False,
cell_class=tf.keras.layers.LSTMCell),
crf_decoding=True)