The focus of this step is to efficiently select a candidate set P I that can cover the information as much as possible (P I ⊂ K) while keeping the  The two retrieval modules were trained with all positive examples from annotated ground truth set and negative examples sampled from the direct upstream modules.
the distribution of negative examples is subjective to the quality of the upstream module.