The UvA-LINKER will give you a range of other options to find the full text of a publication (including a direct link to the full-text if it is located on another database on the internet).
De UvA-LINKER biedt mogelijkheden om een publicatie elders te vinden (inclusief een directe link naar de publicatie online als deze beschikbaar is in een database op het internet).

Zoekresultaten

Zoekopdracht: faculteit: "FNWI" en publicatiejaar: "2008"

AuteursL. Smith, L.K. Tanabe, R. Johnson, C.-J. Kuo, I-F. Chung, C.-N. Hsu, Y.-S. Lin, R. Klinger, C.M. Friedrich, K. Ganchev, M. Torii, H. Liu, B. Haddow, C.A. Struble, R.J. Povinelli, A. Vlachos, W.A. Baumgartner (jr.), L. Hunter, B. Carpenter, R.T.-H. Tsai, H.-J. Dai, F. Liu, Y. Chen, C. Sun, S. Katrenko, P. Adriaans, C. Blaschke, R. Torres, M. Neves, P. Nakov, A. Divoli, M. Maña-López, J. Mata, W.J. Wilbur
TitelOverview of BioCreative II gene mention recognition
TijdschriftGenome Biology.com
Jaargang9
Jaar2008
NummerSuppl 2
Pagina'sS2-
ISSN14656906
FaculteitFaculteit der Natuurwetenschappen, Wiskunde en Informatica
Instituut/afd.FNWI: Informatics Institute (II)
SamenvattingNineteen teams presented results for the Gene Mention Task at the BioCreative II Workshop. In this task participants designed systems to identify substrings in sentences corresponding to gene name mentions. A variety of different methods were used and the results varied with a highest achieved F1 score of 0.8721. Here we present brief descriptions of all the methods used and a statistical analysis of the results. We also demonstrate that, by combining the results from all submissions, an F score of 0.9066 is feasible, and furthermore that the best result makes use of the lowest scoring submissions.
Soort documentArtikel
Download
Document finderUvA-Linker