Labeling queries for a people search engine

We present methods for labeling queries for a specialized search engine: a people search engine. Thereby, we propose several methods of different complexity from simple probabilistic ones to Conditional Random Fields. All methods are then evaluated on a manually annotated corpus of queries submitted to a people search engine. Additionally, we analyze this corpus with respect to typical search patterns and their distribution.