In a topic model, it may be easy to identify the templated text based upon it appearing in one topic.
if there is a concern that there is systematic use of text templates in documents (such as page headers or publication information) that may be too close to the language model, the ngram removal approach inspired by Citron and Ginsparg (2015) is an expensive but straightforward way to ensure these strings are detected and deleted.