According to the results, unmarked contexts allow us to gain an average of 10.2 points in recall for class members, demonstrating that they provide useful information to classifiers, which allows them to cover cases which they were not able to before, most likely due to phenomena such as data sparsity.
the impact on precision varies between classes, as the inclusion of very frequent information in the vectors representing target nouns may provide additional noise to the classifier (see Section 6.1).