import tensorflow as tf

                tf.argmax(self.predictions_action, 1)
            )
            self.accuracy_action = tf.reduce_mean(tf.cast(correct_prediction_action, 'float'))
            tf.scalar_summary('accuracy_action', self.accuracy_action)

            correct_prediction_arguments = tf.equal(tf.argmax(one_hot_labels_arguments, 2),
                                                    tf.argmax(self.predictions_arguments, 2))
            self.accuracy_arguments = tf.reduce_mean(tf.cast(correct_prediction_arguments, 'float'))
            tf.scalar_summary('accuracy_arguments', self.accuracy_arguments)
