Combining Document-and Paragraph-Based Entity Ranking

H. Rode; Pavel Serdyukov; Djoerd Hiemstra

doi:10.1145/1390334.1390538

Combining Document-and Paragraph-Based Entity Ranking

H. Rode, Pavel Serdyukov, Djoerd Hiemstra

Databases (Former)

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

11 Citations (Scopus)

109 Downloads (Pure)

Abstract

We study entity ranking on the INEX entity track and pro- pose a simple graph-based ranking approach that enables to combine scores on document and paragraph level. The com- bined approach improves the retrieval results not only on the INEX testset, but similarly on TREC’s expert finding task.

Original language	Undefined
Title of host publication	Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	851-852
Number of pages	2
ISBN (Print)	978-1-60558-164-4
DOIs	https://doi.org/10.1145/1390334.1390538
Publication status	Published - 20 May 2008
Event	31st Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008 - Singapore, Singapore Duration: 20 Jul 2008 → 25 Jul 2008 Conference number: 31

Publication series

Name
Number	1

Conference

Conference	31st Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008
Abbreviated title	SIGIR
Country/Territory	Singapore
City	Singapore
Period	20/07/08 → 25/07/08

Keywords

EWI-12313
METIS-250966
DB-IR: INFORMATION RETRIEVAL

Access to Document

10.1145/1390334.1390538

p851-rode

http://doi.acm.org/10.1145/1390334.1390538

Cite this

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title = "Combining Document-and Paragraph-Based Entity Ranking",

abstract = "We study entity ranking on the INEX entity track and pro- pose a simple graph-based ranking approach that enables to combine scores on document and paragraph level. The com- bined approach improves the retrieval results not only on the INEX testset, but similarly on TREC{\textquoteright}s expert finding task.",

keywords = "EWI-12313, METIS-250966, DB-IR: INFORMATION RETRIEVAL",

author = "H. Rode and Pavel Serdyukov and Djoerd Hiemstra",

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doi = "10.1145/1390334.1390538",

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Rode, H, Serdyukov, P & Hiemstra, D 2008, Combining Document-and Paragraph-Based Entity Ranking. in Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008. Association for Computing Machinery, New York, pp. 851-852, 31st Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008, Singapore, Singapore, 20/07/08. https://doi.org/10.1145/1390334.1390538

Combining Document-and Paragraph-Based Entity Ranking. / Rode, H.; Serdyukov, Pavel; Hiemstra, Djoerd.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008. New York: Association for Computing Machinery, 2008. p. 851-852.

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

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AB - We study entity ranking on the INEX entity track and pro- pose a simple graph-based ranking approach that enables to combine scores on document and paragraph level. The com- bined approach improves the retrieval results not only on the INEX testset, but similarly on TREC’s expert finding task.

KW - EWI-12313

KW - METIS-250966

KW - DB-IR: INFORMATION RETRIEVAL

U2 - 10.1145/1390334.1390538

DO - 10.1145/1390334.1390538

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BT - Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

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