2026-07-23T20:15:14Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:18518 2024-03-06T10:32:08Z ddc:004 open_access

Generating and Ranking Distractors for Multiple-Choice Questions in Portuguese Gonçalo Oliveira, Hugo Caetano, Igor Matos, Renato Amaro, Hugo Multiple-Choice Questions Distractor Generation Language Models 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Hugo Gonçalo Oliveira and Igor Caetano and Renato Matos and Hugo Amaro 2023 Is Part Of OASIcs, Volume 113, 12th Symposium on Languages, Applications and Technologies (SLATE 2023) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.SLATE.2023.4 urn:nbn:de:0030-drops-185185 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2023.4 eng https://creativecommons.org/licenses/by/4.0/legalcode