Multiple Choice Question Corpus Analysis for Distractor Characterization
International audience 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 automatic...
Main Authors: | , , , , , |
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Other Authors: | , , |
Format: | Conference Object |
Language: | English |
Published: |
HAL CCSD
2014
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Subjects: | |
Online Access: | https://hal.science/hal-02282009 https://hal.science/hal-02282009/document https://hal.science/hal-02282009/file/Sami-lrec2014.pdf |
Summary: | International audience 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. Manual analysis shows that homogeneity rule is respected to edit distractors and automatic analysis shows the possibility to reproduce these criteria. These ones can be used in future works to automatically select distractors, with the combination of other criteria. |
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