import tensorflow as tf

        return default_params

    def bilstm_layer(self, embeddings, nwords):
        t = tf.transpose(embeddings, perm=[1, 0, 2])
        lstm_cell_fw = tf.contrib.rnn.LSTMBlockFusedCell(self.params['lstm_size'])
        lstm_cell_bw = tf.contrib.rnn.LSTMBlockFusedCell(self.params['lstm_size'])
