Distractor Generation for Fill-in-the-Blank Exercises by Question Type

Nana Yoshimi, Tomoyuki Kajiwara, Satoru Uchida, Yuki Arase, Takashi Ninomiya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study addresses the automatic generation of distractors for English fill-in-the-blank exercises in the entrance examinations for Japanese universities. While previous studies applied the same method to all questions, actual entrance examinations have multiple question types that reflect the purpose of the questions. Therefore, we define three types of questions (grammar, function word, and context) and propose a method to generate distractors according to the characteristics of each question type. Experimental results on 500 actual questions show the effectiveness of the proposed method for both automatic and manual evaluation.

Original languageEnglish
Title of host publicationStudent Research Workshop
PublisherAssociation for Computational Linguistics (ACL)
Pages276-281
Number of pages6
ISBN (Electronic)9781959429692
Publication statusPublished - 2023
Event61st Annual Meeting of the Association for Computational Linguistics, ACL-SRW 2023 - Toronto, Canada
Duration: Jul 10 2023Jul 12 2023

Publication series

NameProceedings of the Annual Meeting of the Association for Computational Linguistics
Volume4
ISSN (Print)0736-587X

Conference

Conference61st Annual Meeting of the Association for Computational Linguistics, ACL-SRW 2023
Country/TerritoryCanada
CityToronto
Period7/10/237/12/23

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Linguistics and Language
  • Language and Linguistics

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