Additionally, we used features including the difference in noun chunk character and token length, the difference in number of tokens, shared named entities, and subtask names.
highAgree does outperform Integrated on 4 or the 5 tasks, especially for hard Cases: hard Case improvements for Biased Language and POS Tagging, and Affective Text, and overall improvements for RTE, POS Tagging, and Affective Text were significant (Paired TTest, p < 0.05, for numerical output, or McNemar's Test 10 (McNemar, 1947), p < 0.05, for nominal classes).