Proper names

Proper names are typically out-of-vocabulary due to their diversity. This is potentially a problem but when Jelínek (2015)[1] simpilfies proper names (along with other 79 groups of words), they've got an improvement of only less than 1% (UAS: 86.12% --> 86.44%, LAS: 79.86% --> 80.58%).


  1. Jelínek, Tomás. "Improvements to Dependency Parsing Using Automatic Simplification of Data." In LREC, vol. 14, pp. 73-77. 2014.
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