Author Verification: Basic Stacked Generalization Applied To Predictions from a Set of Heterogeneous Learners - Notebook for PAN at CLEF 2015

Erwan Moreau (1) , Arun Jayapal (1) , Gerard Lynch (1) , Carl Vogel (1)

1 School of Computer Science and Statistics [Dublin]

In this paper we present the system we submitted to the PAN 2015 competition for the author verification task. We consider the task as a supervised classification problem, where each case in a dataset is an instance. Our approach combines the output from multiple learners using basic stacked generalization. The individual learners are obtained using five distinct approaches, each trained using a generic genetic algorithm. Our system performed well on the test set: the macro-average score was 0.61 (2nd best).

Mots clés: author verification; genetic algorithm; ensemble methods; stacked generalization

Domaines: Traitement du texte et du document

Erwan Moreau, Arun Jayapal, Gerard Lynch, Carl Vogel. Author Verification: Basic Stacked Generalization Applied To Predictions from a Set of Heterogeneous Learners - Notebook for PAN at CLEF 2015. CLEF 2015 - Conference and Labs of the Evaluation forum, Sep 2015, Toulouse, France. ⟨hal-01226030⟩