In essence, such methods utilize extraction patterns to generate candidate extractions (e.g., "Istanbul") and then assess each candidate by computing co-occurrence statistics between the extraction and words or phrases indicative of class membership (e.g., "cities such as").
zipf's Law governs the distribution of extractions.