Cross Language Information Retrieval for Biomedical Literature

Martijn Schuemie, Rudolf Berend Trieschnigg, Wessel Kraaij

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

Abstract

This workshop report discusses the collaborative work of UT, EMC and TNO on the TREC Genomics Track 2007. The biomedical information retrieval task is approached using cross language methods, in which biomedical concept detection is combined with effective IR based on unigram language models. Furthermore, a co-occurrence method is used to select and ��?lter candidate answers. On its own, the cross lingual approach and the ��?ltering do not strongly improve retrieval results. However, the combination of approaches does show a strong improvement over the monolingual baseline.
Original languageUndefined
Title of host publicationThe Sixteenth Text REtrieval Conference (TREC 2007) Proceedings
EditorsE.M Voorhees, L.P. Buckland
Place of PublicationGaithersburg
PublisherNIST
Pages-
Number of pages10
ISBN (Print)not assigned
Publication statusPublished - Nov 2007
Event16th Text REtrieval Conference, TREC 2007 - Gaithersburg, United States
Duration: 6 Nov 20079 Nov 2007
Conference number: 16

Publication series

Name
PublisherNIST
Number10

Conference

Conference16th Text REtrieval Conference, TREC 2007
Abbreviated titleTREC
CountryUnited States
CityGaithersburg
Period6/11/079/11/07

Keywords

  • IR-62527
  • EWI-14033
  • METIS-252102

Cite this

Schuemie, M., Trieschnigg, R. B., & Kraaij, W. (2007). Cross Language Information Retrieval for Biomedical Literature. In E. M. Voorhees, & L. P. Buckland (Eds.), The Sixteenth Text REtrieval Conference (TREC 2007) Proceedings (pp. -). Gaithersburg: NIST.