- The University of Amsterdam at TREC 2010: Session, Entity, and Relevance Feedback
- NIST Special Publication
- Document type
- Faculty of Science (FNWI)
- Informatics Institute (IVI)
We describe the participation of the University of Amsterdam’s ILPS group in the session, entity, and relevance feedback track at TREC 2010. In the Session Track we explore the use of blind relevance feedback to bias a follow-up query towards or against the topics covered in documents returned to the user in response to the original query. In the Entity Track REF task we experiment with a window size parameter to limit the amount of context considered by the entity co-occurrence models and explore the use of Freebase for type filtering, entity normalization and homepage finding. In the ELC task we use an approach that uses the number of links shared between candidate and example entities to rank candidates. In the Relevance Feedback Track we experiment with a novel model that uses Wikipedia to expand the query language model.
- 16-11-2010 nog toevoegen in datum-vanaf-veld
Proceedings title: The 19th Text REtrieval Conference (TREC 2010) proceedings
Publisher: National Institute of Standards and Technology (NIST)
Place of publication: Gaithersburg, MD
Editors: E.M. Voorhees, L.P. Buckland
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