In Figure 3 we plot both the F 1 score and the average number of distinct segments used in predicting eachŷ against the c parameter from the dynamic program above, for the CoNLL 2003 NER development data in both the standard and zeroshot settings.
we consider three zero-shot transfer scenarios: training with Universal POS Tags on the Penn Treebank and then predicting the standard, fine-grained POS tags, training on the CoNLL 2003 NER data and predicting on the fine-grained OntoNotes NER data (Hovy et al., 2006) using the setup of Strubell et al.