License: 
Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.SLATE.2023.4
URN: urn:nbn:de:0030-drops-185185
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/18518/
Gonçalo Oliveira, Hugo ;
Caetano, Igor ;
Matos, Renato ;
Amaro, Hugo
Generating and Ranking Distractors for Multiple-Choice Questions in Portuguese
Abstract
In the process of multiple-choice question generation, different methods are often considered for distractor acquisition, as an attempt to cover as many questions as possible. Some, however, result in many candidate distractors of variable quality, while only three or four are necessary. We implement some distractor generation methods for Portuguese and propose their combination and ranking with language models. Experimentation results confirm that this increases both coverage and suitability of the selected distractors.
BibTeX - Entry
@InProceedings{goncalooliveira_et_al:OASIcs.SLATE.2023.4,
author = {Gon\c{c}alo Oliveira, Hugo and Caetano, Igor and Matos, Renato and Amaro, Hugo},
title = {{Generating and Ranking Distractors for Multiple-Choice Questions in Portuguese}},
booktitle = {12th Symposium on Languages, Applications and Technologies (SLATE 2023)},
pages = {4:1--4:9},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-95977-291-4},
ISSN = {2190-6807},
year = {2023},
volume = {113},
editor = {Sim\~{o}es, Alberto and Ber\'{o}n, Mario Marcelo and Portela, Filipe},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2023/18518},
URN = {urn:nbn:de:0030-drops-185185},
doi = {10.4230/OASIcs.SLATE.2023.4},
annote = {Keywords: Multiple-Choice Questions, Distractor Generation, Language Models}
}
