We can think of this third classifier as the learning counterpart of the manual rules from Section 3.2, since it actually learns when to flip the contextual classifier's output considering SWSD evidence.
this merger classifier relies on four machine learning features (1), (2), (3), (4) from above (the ex-   Table 5: N/P classifier with learned SWSD integration act same information used in rule-based integration).