CMIC@INEX 2008: Link-the-wiki track

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes the runs that I submitted to the INEX 2008 Link-the-Wiki track. I participated in the incoming File-to-File and the outgoing Anchor-to-BEP tasks. For the File-to-File task I used a generic IR engine and constructed queries based on the title, keywords, and keyphrases of the Wikipedia article. My runs performed well for this task achieving the highest precision for low recall levels. Further post-hoc experiments showed that constructing queries using titles only produced even better results than the official submissions. For the Anchor-to-BEP task, I used a keyphrase extraction engine developed in-house and I filtered the keyphrases using existing Wikipedia titles. Unfortunately, my runs performed poorly compared to those of other groups. I suspect that this was the result of using many phrases that were not central to articles as anchors.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages337-342
Number of pages6
Volume5631 LNCS
DOIs
Publication statusPublished - 4 Nov 2009
Externally publishedYes
Event7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008 - Dagstuhl Castle, Germany
Duration: 15 Dec 200818 Dec 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5631 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008
CountryGermany
CityDagstuhl Castle
Period15/12/0818/12/08

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Keywords

  • Document Linking
  • Keyphrase extraction

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Darwish, K. (2009). CMIC@INEX 2008: Link-the-wiki track. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5631 LNCS, pp. 337-342). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5631 LNCS). https://doi.org/10.1007/978-3-642-03761-0_34