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Entity-Oriented Search pp 57–99Cite as

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Term-Based Models for Entity Ranking

Term-Based Models for Entity Ranking

  • Krisztian Balog4 
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  • Open Access
  • First Online: 03 October 2018

  • 19k Accesses

Part of the The Information Retrieval Series book series (INRE,volume 39)

Abstract

Ad hoc entity retrieval is the task of answering a free text query with a ranked list of entities. The main idea behind our approaches in this chapter can be summarized as follows: If textual representations can be constructed for entities, then the ranking of these representations (“entity descriptions”) becomes straightforward by building on traditional document retrieval techniques. Accordingly, the bulk of the work presented in this chapter revolves around assembling term-based entity representations from various sources, ranging from unstructured documents to structured knowledge bases. We also discuss evaluation methodology and standard test collections.

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    Krisztian Balog

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Balog, K. (2018). Term-Based Models for Entity Ranking. In: Entity-Oriented Search. The Information Retrieval Series, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-319-93935-3_3

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