Combining Term-Based and Category-Based Representations for Entity Search

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Focused Retrieval and Evaluation (INEX 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6203))

Abstract

We describe our participation in the INEX 2009 Entity Ranking track. We employ a probabilistic retrieval model for entity search in which term-based and category-based representations of queries and entities are effectively integrated. We demonstrate that our approach achieves state-of-the-art performance on both the entity ranking and list completion tasks.

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Balog, K., Bron, M., de Rijke, M., Weerkamp, W. (2010). Combining Term-Based and Category-Based Representations for Entity Search. In: Geva, S., Kamps, J., Trotman, A. (eds) Focused Retrieval and Evaluation. INEX 2009. Lecture Notes in Computer Science, vol 6203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14556-8_27

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  • DOI: https://doi.org/10.1007/978-3-642-14556-8_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14555-1

  • Online ISBN: 978-3-642-14556-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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