research-article

Exploring query reformulation for named entity expansion in information retrieval

Authors: Bissan Audeh, Philippe Beaune, Michel BeigbederAuthors Info & Claims

SAC '14: Proceedings of the 29th Annual ACM Symposium on Applied Computing

Pages 929 - 930

Published: 24 March 2014 Publication History

Abstract

Named Entities are valuable information containers. Expanding these elements is an ongoing research area in information retrieval. In this paper, we focus on the way in which named entity expansions are added to the query. Three approaches are explored: Bag Of Words, Sequential Dependence and Key Concept. Evaluating these three approaches for named entity expansion reveals interesting improvements in precision and recall.

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Cited By

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Hosseini HBagheri E(2021)Learning to rank implicit entities on TwitterInformation Processing & Management10.1016/j.ipm.2021.10250358:3(102503)Online publication date: May-2021
https://doi.org/10.1016/j.ipm.2021.102503
Meziane FBelalem GBarigou FGhoulam A(2018)Query Expansion Using Medical Information Extraction for Improving Information Retrieval in French Medical DomainInternational Journal of Intelligent Information Technologies10.4018/IJIIT.201807010114:3(1-17)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.4018/IJIIT.2018070101
Ortiz-Cordova AJansen B(2016)Associating Searching on Search Engines to Subsequent Searching on SitesInternational Journal of Information Systems in the Service Sector10.4018/IJISSS.20160401038:2(30-43)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.4018/IJISSS.2016040103

Index Terms

Exploring query reformulation for named entity expansion in information retrieval
1. Information systems
  1. Information retrieval

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Published In

SAC '14: Proceedings of the 29th Annual ACM Symposium on Applied Computing

March 2014

1890 pages

ISBN:9781450324694

DOI:10.1145/2554850

Conference Chairs:
Yookun Cho
Seoul National University, Korea
,
Sung Y. Shin
South Dakota State University
,
Program Chairs:
Sangwook Kim
Kyungpook National University, Korea
,
Chih-Cheng Hung
Southern Polytechnic State University
,
Jiman Hong
Soongsil University, South Korea

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 March 2014

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SAC 2014: Symposium on Applied Computing

March 24 - 28, 2014

Gyeongju, Republic of Korea

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SAC '14 Paper Acceptance Rate 218 of 939 submissions, 23%;

Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

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Hosseini HBagheri E(2021)Learning to rank implicit entities on TwitterInformation Processing & Management10.1016/j.ipm.2021.10250358:3(102503)Online publication date: May-2021
https://doi.org/10.1016/j.ipm.2021.102503
Meziane FBelalem GBarigou FGhoulam A(2018)Query Expansion Using Medical Information Extraction for Improving Information Retrieval in French Medical DomainInternational Journal of Intelligent Information Technologies10.4018/IJIIT.201807010114:3(1-17)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.4018/IJIIT.2018070101
Ortiz-Cordova AJansen B(2016)Associating Searching on Search Engines to Subsequent Searching on SitesInternational Journal of Information Systems in the Service Sector10.4018/IJISSS.20160401038:2(30-43)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.4018/IJISSS.2016040103

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