(2016) conducted the unsupervised parameter estimation based on unlabeled data by solving Different from the general DP that treats each LF with the equal prior, we have strong priors that patterns produced by DIAG-NRE are either supportive or unsupportive of the target relation with high probabilities.
in our case, we directly employ the small labeled set S L obtained at the pattern-refinement stage to estimate (α, β) by solving where the closed-form solutions are for each i ∈ {1, • • • , m}.