Multiple Choice Question Corpus Analysis for Distractor Characterization

LREC 2014 Van-Minh PhoThibault Andr{\'e}Anne-Laure LigozatBrigitte GrauGabriel IllouzThomas Fran{\c{c}}ois

In this paper, we present a study of MCQ aiming to define criteria in order to automatically select distractors. We are aiming to show that distractor editing follows rules like syntactic and semantic homogeneity according to associated answer, and the possibility to automatically identify this homogeneity... (read more)

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