With the exception of AMBRA, all other participating systems used external resources (such as Wikipedia and Google n-grams); it is thus fair to assume they had access to at least as much training data as our SCAN model.
a hypothetical system would then have to decide amongst the following classes: {1700-1702, 1703-1705, ..., 1961-1963, ..., 2012-2014} {1699-1706, 1707-1713, ..., 1959-1965, ..., 2008-2014} {1696-1708, 1709-1721, ..., 1956-1968, ..., 2008-2020} The first set of classes correspond to fine-grained intervals of 2-years, the second set to medium-grained intervals of 6-years and the third set to coarsegrained intervals of 12-years.