To ensure faster convergence, we introduce a new constraint to the likelihood function: for each token position i, the corresponding latent label s i must have a non-zero probability in at least one labelling function (the likelihood of this label is otherwise set to zero for that position).
the aggregation model will only predict a particular label if this label is produced by least one labelling function.