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UJM at CLEF in Author Verification based on optimized classification trees

Abstract : This article describes our proposal for the Author Identification task in the PAN CLEF Challenge 2014. We have adopted a machine learning ap- proach based on several representations of the texts and on optimized decision trees which have as entry various attributes and which are learned for every train- ing corpus separately for this classification task. Our method ranked us at the 2nd place with an overall AUC of 70.7%, and C@1 of 68.4% and, between the 1st and the 6th place on the six corpora.
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https://hal-emse.ccsd.cnrs.fr/emse-01065829
Contributor : Florent Breuil <>
Submitted on : Thursday, September 18, 2014 - 3:46:05 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:09 PM

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  • HAL Id : emse-01065829, version 1

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Jordan Frery, Christine Largeron, Mihaela Juganaru-Mathieu. UJM at CLEF in Author Verification based on optimized classification trees. CLEF 2014, Sep 2014, Sheffield, United Kingdom. 7p. ⟨emse-01065829⟩

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