During training, pipelined systems typically discard any mentions that the mention detector misses, which for Clark and Manning (2016a) consists of more than 9% of the labeled mentions in the training data.
we only discard mentions that exceed our maximum mention width of 10, which accounts for less than 2% of the training mentions.