In this paper we describe our participation in the SemEval 2007 Web People Search task. Our main aim in participating was to adapt language modeling tools for the task, and to experiment with various document representations. Our main finding is that single pass clustering, using title, snippet and body to represent documents, is the most effective setting.
|Title of host publication||SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations|
|Place of Publication||Stroudsburg, PA, USA|
|Number of pages||4|
|Publication status||Published - 23 Jun 2007|
|Publisher||Association for Computational Linguistics|
- people searching
- web searching
- language modeling
Balog, K., Azzopardi, L., & de Rijke, M. (2007). UVA: language modeling techniques for web people search. In SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations (pp. 468-471). (SemEval '07)..