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European Conference on Information Retrieval

ECIR 2018: Advances in Information Retrieval pp 773–779Cite as

Entity Retrieval via Type Taxonomy Aware Smoothing

Part of the Lecture Notes in Computer Science book series (LNISA,volume 10772)

Abstract

We investigate the task of ad-hoc entity retrieval from a knowledge base. We propose a type taxonomy aware smoothing method that exploits the hierarchical type information of a knowledge base and integrates into an existing language modelling framework. Unlike most existing type-aware retrieval models, our approach does not require an explicit inference of query type. Instead, it directly encodes the type information into a term-based retrieval model by considering the occurrence of query terms in multi-fielded pseudo documents of entities whose types have connections in the type taxonomy. We conduct experiments on a recent public benchmark dataset with the Wikipedia category information. Preliminary experiment results show that our framework improves the performance of existing models.

Keywords

  • Entity retrieval
  • Structure-aware smoothing
  • Type taxonomy

The work described in this paper is substantially supported by a grant from the Research Grant Council of the Hong Kong Special Administrative Region, China (Project Code: 14203414).

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Author information

Authors and Affiliations

  1. Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Sha Tin, Hong Kong

    Xinshi Lin & Wai Lam

Authors
  1. Xinshi Lin
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  2. Wai Lam
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Corresponding author

Correspondence to Xinshi Lin .

Editor information

Editors and Affiliations

  1. Department of Informatics, Systems, and Communication, University of Milano-Bicocca, Milan, Italy

    Prof. Gabriella Pasi

  2. LIP6 – UPMC/CNRS, University Pierre et Marie Curie, Paris, France

    Benjamin Piwowarski

  3. University of Glasgow, Glasgow, United Kingdom

    Leif Azzopardi

  4. Technical University of Vienna, Vienna, Austria

    Allan Hanbury

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Lin, X., Lam, W. (2018). Entity Retrieval via Type Taxonomy Aware Smoothing. In: Pasi, G., Piwowarski, B., Azzopardi, L., Hanbury, A. (eds) Advances in Information Retrieval. ECIR 2018. Lecture Notes in Computer Science(), vol 10772. Springer, Cham. https://doi.org/10.1007/978-3-319-76941-7_75

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  • DOI: https://doi.org/10.1007/978-3-319-76941-7_75

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