We use ϕ SE to represent how informative a sentence is: , where T is the length of x, m ranges over all possible token labels and P θ (y t = m) is the probability when y t is tagged as m. A new requirement for IL name tagging is a Linguistic Workflow Generator, which can generate an activity schedule to organize and maximize the use of acquired expectations to yield optimal F-scores within given time bounds.
the input to the IL name tagger is not only the test data, but also a time bound for development (1 hour, 2 hours, 24 hours, 1 week, 1 month, etc.).