Works great until the text gets changed.
This strategy works for applying semantic annotations of any kind to text. If you are marking up text to train a machine learning model that works as a "magic magic marker" (learns to mark up text the way you do) this is the ultimate way to do it because it is not dependent on any way to tokenize the text and lets you make markings that overlap.
