As with many problems, there is pressing need to find strategies for reducing the amount of supervision required for producing accurate supertaggers, but as yet, no one has explored the use of weak supervision for the task.
dirichlet priors can be used to bias HMMs toward more skewed distributions (Goldwater and Griffiths, 2007;Johnson, 2007), which is especially useful in the weakly supervised setting considered here.