LSIS/LIA at TREC 2012 Knowledge Base Acceleration
LABORATOIRE INFORMATIQUE AVIGNON (FRANCE)
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This paper describes our joint participation in the TREC 2012 KBA task. The system is broken down as follows first name variations of the entity topics are searched then documents containing at least one of them are retrieved. Finally documents go through two classifiers to categorize them as garbage, neutrals, relevant or centrals. This system got good results 3rd of 11 however first analyses tends to show that ranking is just a little bit better than random.
- Information Science