Each text is analyzed before the extraction stage. Each word is assigned with 4 features: lemma, lexical category, case and semantic category. Rules are extracted in the form of window with w words to the left, and w words to the right side of a boundary of named entity (table 1). Each rule can be presented as a table.
	There are 2 steps in the training process. Initially a set of tagging rules is learned. Next stage consists of inducing metarules, which correct mistakes and imprecision in tagging process.