Projection-based Relevance Model for Table Retrieval

Roee Shraga; Haggai Roitman; Guy Feigenblat; Bar Weiner

doi:10.1145/3366424.3382681

Projection-based Relevance Model for Table Retrieval

Roee Shraga, Haggai Roitman, Guy Feigenblat, Bar Weiner

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

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.

Original language	English
Title of host publication	The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020
Publisher	Association for Computing Machinery
Pages	28-29
Number of pages	2
ISBN (Electronic)	9781450370240
DOIs	https://doi.org/10.1145/3366424.3382681
State	Published - 20 Apr 2020
Externally published	Yes
Event	29th International World Wide Web Conference, WWW 2020 - Taipei, Taiwan, Province of China Duration: 20 Apr 2020 → 24 Apr 2020

Publication series

Name	The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020

Conference

Conference	29th International World Wide Web Conference, WWW 2020
Country/Territory	Taiwan, Province of China
City	Taipei
Period	20/04/20 → 24/04/20

Bibliographical note

Publisher Copyright:
© 2020 ACM.

Access to Document

10.1145/3366424.3382681

Cite this

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title = "Projection-based Relevance Model for Table Retrieval",

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.",

author = "Roee Shraga and Haggai Roitman and Guy Feigenblat and Bar Weiner",

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doi = "10.1145/3366424.3382681",

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Shraga, R, Roitman, H, Feigenblat, G & Weiner, B 2020, Projection-based Relevance Model for Table Retrieval. in The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020. The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020, Association for Computing Machinery, pp. 28-29, 29th International World Wide Web Conference, WWW 2020, Taipei, Taiwan, Province of China, 20/04/20. https://doi.org/10.1145/3366424.3382681

Projection-based Relevance Model for Table Retrieval. / Shraga, Roee; Roitman, Haggai; Feigenblat, Guy et al.
The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, 2020. p. 28-29 (The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Projection-based Relevance Model for Table Retrieval

Abstract

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