Furthermore, the confidence scores which MultiR outputs are not normalized to the same scale, which brings us difficulties in setting up a confidence threshold to select the candidates.
we only use the top one result as the candidate since including top two predictions without thresholding the confidences performs bad, indicating that a probabilistic sentence-level extractor is more suitable for our framework.