The maximum entropy models bene ted from extra feature which encoded capitalization information, positional information and information about the current word being part of a person name earlier in the text.
incorporating a list of person names in the training process did not help (Spanish test set: F =1 =73.66 Dutch test set: F =1 =68.08) Jansche (2002) employed a rst-order Markov model as a named entity recognizer.