DIEL predicts the class of a list with its feature vector, while LP-baseline determines the class of a list by checking its predicted class in the result of MRW with the corresponding training instances as seeds.
it attempts to classify each NP in the input corpus into one of the four types or "other" with the training seeds as distance supervision.