Take the example 4 in the table as an example, the correct extracted target should be "chili signed food items", but SPANpipeline split the gold target entity to two separate targets because of its length penalty.
our algorithm can extract the target "chili signed food items" correctly since we get the original candidates with the closest indexes and then extract the targets by the extending strategy.