import tensorflow as tf

            W_head = tf.get_variable("embed_W_head", [num_quantized_chars, embedding_size], initializer=initializer)
            embedded_head = tf.nn.embedding_lookup(W_head, self.input_head)
            embedded_head_expanded = tf.expand_dims(embedded_head, -1)

        cnn_inputs = tf.concat(
            [embedded_text_expand, embedded_tags_expanded, embedded_deps_expanded, embedded_head_expanded], -1)

        print("-" * 20)
