12 Assuming that labeling one token in isolation takes the same time as labeling one token in a sequence, these results strongly support a new paradigm of labeling in which instead of annotating entire sentences, the human instead selects some key features of interest and labels tokens that have this feature.
intriguing is the flexibility our scenario provides for the selection of "features of interest" to be driven by error analysis.