The motivation for this is that a general out-of-vocabulary model is not expected to increase the performance, since it basically learns to ignore entity properties, similar to the models for common words such as "the".
a sequence of tokens T was transcribed from the speech of both participants using Penn Treebank tokenization rules (Marcus et al., 1993).