Combining Document-and Paragraph-Based Entity Ranking

H. Rode, Pavel Serdyukov, Djoerd Hiemstra

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

11 Citations (Scopus)
19 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 languageUndefined
Title of host publicationProceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages851-852
Number of pages2
ISBN (Print)978-1-60558-164-4
DOIs
Publication statusPublished - 20 May 2008
Event31st Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008 - Singapore, Singapore
Duration: 20 Jul 200825 Jul 2008
Conference number: 31

Publication series

Name
Number1

Conference

Conference31st Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008
Abbreviated titleSIGIR
CountrySingapore
CitySingapore
Period20/07/0825/07/08

Keywords

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

Cite this