research-article

Projection-based Relevance Model for Table Retrieval

Authors:

Roee Shraga,

Haggai Roitman,

Guy Feigenblat,

Bar WeinerAuthors Info & Claims

WWW '20: Companion Proceedings of the Web Conference 2020

Pages 28 - 29

https://doi.org/10.1145/3366424.3382681

Published: 20 April 2020 Publication History

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Abstract

We propose a novel relevance model for table-retrieval using table columns (“projections”) as pseudo-relevance feedback. To demonstrate the merits of our proposed approach, we re-rank tables that were initially retrieved from a Wikipedia corpus by state-of-the-art table retrieval methods. Overall, our proposed projection-based relevance model (PTRM) results in significant performance gains.

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[2] V. Lavrenko and W. B. Croft. Relevance based language models. In Proceedings of SIGIR, SIGIR ’01, pages 120–127, New York, NY, USA, 2001. Association for Computing Machinery.

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[3]

[3] R. Shraga, H. Roitman, G. Feigenblat, and M. Canim. Ad hoc table retrieval using intrinsic and extrinsic similarities. In Proceedings of the 2020 World Wide Web Conference, WWW, 2020.

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[4]

[4] L. Zhang, S. Zhang, and K. Balog. Table2vec: Neural word and entity embeddings for table population and retrieval. In Proceedings of the 42Nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR’19, pages 1029–1032, New York, NY, USA, 2019. ACM.

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[5] S. Zhang and K. Balog. Ad hoc table retrieval using semantic similarity. In Proceedings of the 2018 World Wide Web Conference, WWW ’18, pages 1553–1562, Republic and Canton of Geneva, Switzerland, 2018. International World Wide Web Conferences Steering Committee.

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Silva LBarbosa L(2022)Matching news articles and wikipedia tables for news augmentationKnowledge and Information Systems10.1007/s10115-022-01815-065:4(1713-1734)Online publication date: 27-Dec-2022
https://doi.org/10.1007/s10115-022-01815-0
Zhang SBalog K(2021)Semantic Table Retrieval Using Keyword and Table QueriesACM Transactions on the Web10.1145/344169015:3(1-33)Online publication date: 13-May-2021
https://dl.acm.org/doi/10.1145/3441690
Shraga RRoitman HFeigenblat GCannim MHuang JChang YCheng XKamps JMurdock VWen JLiu Y(2020)Web Table Retrieval using Multimodal Deep LearningProceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3397271.3401120(1399-1408)Online publication date: 25-Jul-2020
https://dl.acm.org/doi/10.1145/3397271.3401120

Index Terms

Projection-based Relevance Model for Table Retrieval
1. Information systems
  1. Information retrieval

Index terms have been assigned to the content through auto-classification.

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Published In

WWW '20: Companion Proceedings of the Web Conference 2020

April 2020

854 pages

ISBN:9781450370240

DOI:10.1145/3366424

Editors:
Amal El Fallah Seghrouchni
Sorbonne University, France
,
Gita Sukthankar
University of Central Florida, United States
,
Tie-Yan Liu
Microsoft Research Asia, China
,
Maarten van Steen
University of Twente, Netherlands

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 20 April 2020

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WWW '20: The Web Conference 2020

April 20 - 24, 2020

Taipei, Taiwan

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Silva LBarbosa L(2022)Matching news articles and wikipedia tables for news augmentationKnowledge and Information Systems10.1007/s10115-022-01815-065:4(1713-1734)Online publication date: 27-Dec-2022
https://doi.org/10.1007/s10115-022-01815-0
Zhang SBalog K(2021)Semantic Table Retrieval Using Keyword and Table QueriesACM Transactions on the Web10.1145/344169015:3(1-33)Online publication date: 13-May-2021
https://dl.acm.org/doi/10.1145/3441690
Shraga RRoitman HFeigenblat GCannim MHuang JChang YCheng XKamps JMurdock VWen JLiu Y(2020)Web Table Retrieval using Multimodal Deep LearningProceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3397271.3401120(1399-1408)Online publication date: 25-Jul-2020
https://dl.acm.org/doi/10.1145/3397271.3401120

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A powerful relevance feedback mechanism for content-based 3D model retrieval

Multi-class relevance feedback content-based image retrieval

Interactive content-based image retrieval using relevance feedback

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