Abstract
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.
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Schlaf, A., Kirschenbaum, A., Remus, R., Efer, T. (2012). Labeling Queries for a People Search Engine. In: Bouma, G., Ittoo, A., Métais, E., Wortmann, H. (eds) Natural Language Processing and Information Systems. NLDB 2012. Lecture Notes in Computer Science, vol 7337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31178-9_5
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DOI: https://doi.org/10.1007/978-3-642-31178-9_5
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