Summary of the paper
| Title | Multiple Choice Question Corpus Analysis for Distractor Characterization |
|---|---|
| Authors | Van-Minh Pho, Thibault andré, Anne-Laure Ligozat, Brigitte Grau, Gabriel Illouz and Thomas Francois |
| Abstract | 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. |
| Topics | Question Answering, Textual Entailment and Paraphrasing |
Full paper  |
Multiple Choice Question Corpus Analysis for Distractor Characterization |
| Bibtex | @InProceedings{PHO14.692, author = {Van-Minh Pho and Thibault andré and Anne-Laure Ligozat and Brigitte Grau and Gabriel Illouz and Thomas Francois}, title = {Multiple Choice Question Corpus Analysis for Distractor Characterization}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |