These existing approaches generally take following steps to generate meaningful labels for a given topic: (1) extract candidate labels; (2) rank candidate labels.
to the best of our knowledge, no existing method has been proposed to satisfy the demand, except that the simplest method which uses top-n words in the distribution to interpret a topic.