no code implementations • COLING 2016 • Andrea Glaser, Jonas Kuhn
We propose an approach to Named Entity Disambiguation that avoids a problem of standard work on the task (likewise affecting fully supervised, weakly supervised, or distantly supervised machine learning techniques): the treatment of name mentions referring to people with no (or very little) coverage in the textual training data is systematically incorrect.
no code implementations • LREC 2014 • Andrea Glaser, Jonas Kuhn
In our experiments on real data we obtain comparable results.