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Position-based contextualization for passage retrieval

Authors:

Oren KurlandAuthors Info & Claims

CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management

Pages 1241 - 1244

https://doi.org/10.1145/2505515.2507865

Published: 27 October 2013 Publication History

Abstract

We present a novel contextualization approach for passage retrieval. The core principle is to let any occurrence of a query term in a document affect the passage retrieval score, whether the occurrence is in the passage or not. This effect is controlled by the distance between the term occurrence and the passage. Empirical evaluation demonstrates the merits of our approach; the resultant retrieval performance substantially transcends that of previously proposed passage retrieval methods, including those that use various contextualization approaches.

References

[1]

N. Abdul-Jaleel, J. Allan, W. B. Croft, F. Diaz, L. Larkey, X. Li, M. D. Smucker, and C. Wade. UMASS at TREC 2004 -- novelty and hard. In Proceedings of the Thirteenth Text Retrieval Conference (TREC-13), 2004.

[2]

J. Allan, C. Wade, and A. Bolivar. Retrieval and novelty detection at the sentence level. In Proceedings of SIGIR, pages 314--321, 2003.

Digital Library

[3]

P. Arvola, S. Geva, J. Kamps, R. Schenkel, A. Trotman, and J. Vainio. Overview of the INEX 2010 ad hoc track. Comparative Evaluation of Focused Retrieval, pages 1--32, 2011.

Digital Library

[4]

P. Arvola, M. Junkkari, and J. Kekalainen. Generalized contextualization method for XML information retrieval. In Proceedings of CIKM, pages 20--27, 2005.

Digital Library

[5]

M. Beigbeder. Focused retrieval with proximity scoring. In Proceedings of SAC, pages 1755--1759, 2010.

Digital Library

[6]

R. Blanco and H. Zaragoza. Finding support sentences for entities. In Proceedings of SIGIR, pages 339--346, 2010.

Digital Library

[7]

J. P. Callan. Passage-level evidence in document retrieval. In Proceedings of SIGIR, pages 302--310, 1994.

Digital Library

[8]

O. de Kretser and A. Moffat. Effective document presentation with a locality-based similarity heuristic. In Proceedings of SIGIR, pages 113--120, 1999.

Digital Library

[9]

R. T. Fernández, D. E. Losada, and L. A. Azzopardi. Extending the language modeling framework for sentence retrieval to include local context. Inf. Retr., 14(4):355--389, Aug. 2011.

Digital Library

[10]

S. Geva, J. Kamps, M. Lethonen, R. Schenkel, J. Thom, and A. Trotman. Overview of the INEX 2009 ad hoc track. Focused Retrieval and Evaluation, pages 4--25, 2010.

Digital Library

[11]

M. Kaszkiel and J. Zobel. Passage retrieval revisited. In Proceedings of SIGIR, pages 178--185, 1997.

Digital Library

[12]

Y. Lv and C. Zhai. Positional language models for information retrieval. In Proceedings of SIGIR, pages 299--306, 2009.

Digital Library

[13]

R. Mihalcea. Graph-based ranking algorithms for sentence extraction, applied to text summarization. In Proceedings of the ACL, page 20, 2004.

Digital Library

[14]

V. Murdock and W. B. Croft. A translation model for sentence retrieval. In Proceedings of HLT/EMNLP, 2005.

Digital Library

[15]

M. A. Norozi, P. Arvola, and A. P. de Vries. Contextualization using hyperlinks and internal hierarchical structure of wikipedia documents. In Proceedings of CIKM, pages 734--743, 2012.

Digital Library

[16]

S. E. Robertson, S. Walker, S. Jones, M. Hancock-Beaulieu, and M. Gatford. Okapi at trec-3. In Proceedings of TREC-3, 1994.

[17]

G. Salton, J. Allan, and C. Buckley. Approaches to passage retrieval in full text information systems. In Proceedings of SIGIR, pages 49--58, 1993.

Digital Library

[18]

S. Tellex, B. Katz, J. Lin, A. Fernandes, and G. Marton. Quantitative evaluation of passage retrieval algorithms for question answering. In Proceedings of SIGIR, pages 41--47. ACM, 2003.

Digital Library

Cited By

Albarede LMulhem PGoeuriot LMarié SLe Pape-Gardeux CChardin-Segui T(2023)Heterogeneous graph attention networks for passage retrievalInformation Retrieval10.1007/s10791-023-09424-326:1-2Online publication date: 16-Nov-2023
https://dl.acm.org/doi/10.1007/s10791-023-09424-3
Sheetrit EFyodorov YRaiber FKurland OHasibi FFang YAizawa A(2021)Recommending Search Queries in Documents Using Inter N-Gram SimilaritiesProceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3471158.3472252(211-220)Online publication date: 11-Jul-2021
https://dl.acm.org/doi/10.1145/3471158.3472252
Sheetrit EShtok AKurland O(2020)A passage-based approach to learning to rank documentsInformation Retrieval10.1007/s10791-020-09369-x23:2(159-186)Online publication date: 6-Mar-2020
https://dl.acm.org/doi/10.1007/s10791-020-09369-x
Show More Cited By

Index Terms

Position-based contextualization for passage retrieval
1. Information systems
  1. Information retrieval
    1. Retrieval models and ranking

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Published In

cover image ACM Conferences

CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management

October 2013

2612 pages

ISBN:9781450322638

DOI:10.1145/2505515

General Chairs:
Qi He
LinkedIn, USA
,
Arun Iyengar
IBM T.J. Watson Research Center, USA
,
Program Chairs:
Wolfgang Nejdl
L3S Research Center, Germany
,
Jian Pei
Simon Fraser University, Canada
,
Rajeev Rastogi
Amazon, India

Copyright © 2013 ACM.

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Publication History

Published: 27 October 2013

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CIKM'13

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CIKM'13: 22nd ACM International Conference on Information and Knowledge Management

October 27 - November 1, 2013

California, San Francisco, USA

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CIKM '13 Paper Acceptance Rate 143 of 848 submissions, 17%;

Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Cited By

Albarede LMulhem PGoeuriot LMarié SLe Pape-Gardeux CChardin-Segui T(2023)Heterogeneous graph attention networks for passage retrievalInformation Retrieval10.1007/s10791-023-09424-326:1-2Online publication date: 16-Nov-2023
https://dl.acm.org/doi/10.1007/s10791-023-09424-3
Sheetrit EFyodorov YRaiber FKurland OHasibi FFang YAizawa A(2021)Recommending Search Queries in Documents Using Inter N-Gram SimilaritiesProceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3471158.3472252(211-220)Online publication date: 11-Jul-2021
https://dl.acm.org/doi/10.1145/3471158.3472252
Sheetrit EShtok AKurland O(2020)A passage-based approach to learning to rank documentsInformation Retrieval10.1007/s10791-020-09369-x23:2(159-186)Online publication date: 6-Mar-2020
https://dl.acm.org/doi/10.1007/s10791-020-09369-x
Sheetrit EShtok AKurland OShprincis ICollins-Thompson KMei QDavison BLiu YYilmaz E(2018)Testing the Cluster Hypothesis with Focused and Graded Relevance JudgmentsThe 41st International ACM SIGIR Conference on Research & Development in Information Retrieval10.1145/3209978.3210120(1173-1176)Online publication date: 27-Jun-2018
https://dl.acm.org/doi/10.1145/3209978.3210120
Kekäläinen JArvola PJunkkari M(2018)Contextualization in Structured Text RetrievalEncyclopedia of Database Systems10.1007/978-1-4614-8265-9_81(611-613)Online publication date: 7-Dec-2018
https://doi.org/10.1007/978-1-4614-8265-9_81
Kekäläinen JArvola PJunkkari M(2017)Contextualization in Structured Text RetrievalEncyclopedia of Database Systems10.1007/978-1-4899-7993-3_81-2(1-3)Online publication date: 31-Jul-2017
https://doi.org/10.1007/978-1-4899-7993-3_81-2
Racca DJones GPerego RSebastiani FAslam JRuthven IZobel J(2016)On the Effectiveness of Contextualisation Techniques in Spoken Query Spoken Content RetrievalProceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval10.1145/2911451.2914730(933-936)Online publication date: 7-Jul-2016
https://dl.acm.org/doi/10.1145/2911451.2914730
Keikha MPark JCroft WSanderson M(2014)Retrieving Passages and Finding AnswersProceedings of the 19th Australasian Document Computing Symposium10.1145/2682862.2682877(81-84)Online publication date: 26-Nov-2014
https://dl.acm.org/doi/10.1145/2682862.2682877

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