Abstract: Systems and methods for extracting facts from natural language texts. An example method comprises: receiving an identifier of a token comprised by a natural language text, wherein the token comprising at least one natural language word references a first information object; receiving identifiers of a first plurality of words representing a first fact of a specified category of facts, wherein the first fact is associated with the first information object of a specified category of information objects; identifying, within the natural language text, a second plurality of words; and responsive to receiving a confirmation that the second plurality of words represents a second fact associated with a second information object of the specified category of information objects, modifying a parameter of a classifier function that produces a value reflecting a degree of association of a given semantic structure with a fact of the specified category of facts.