1. A method of using a computer to modify a list of terms assigned to a semantic category, the method comprising: receiving an indication of a seed term; using a computer to identify from a log of queries, a query having a set of query terms that includes at least one instance of the seed term in combination with a context word; utilizing the computer to automatically identify, from the log of queries, a second query having a set of query terms that does not include the seed termbut does include the context word in combination with a different term, the different term being different than the seed term and the context term; and utilizing the computer to remove the different term from the list of terms assigned to the semantic category, the different term being removed based on a determination that a significant enough context does not exist between the different term and the seed term, the significance of the context being determined utilizing the formula, 
 Score(c) =F_type{c}* log(g(c)/C), where g(c) =F_type{c}/F_inst{c}, where C =F_type{ctopx}/F_inst{ctopx}, where F_type is a frequency of context c in the semantic category, where F_inst is a frequency of context in an entire data, and where ctopx is x number of the most frequent contexts.
4. The method of claim 1 , wherein identifying a query comprises identifying a plurality of queries in the log of queries.