@inproceedings{stasaski-hearst-2017-multiple,
title = "Multiple Choice Question Generation Utilizing An Ontology",
author = "Stasaski, Katherine and
Hearst, Marti A.",
editor = "Tetreault, Joel and
Burstein, Jill and
Leacock, Claudia and
Yannakoudakis, Helen",
booktitle = "Proceedings of the 12th Workshop on Innovative Use of {NLP} for Building Educational Applications",
month = sep,
year = "2017",
address = "Copenhagen, Denmark",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-5034",
doi = "10.18653/v1/W17-5034",
pages = "303--312",
abstract = "Ontologies provide a structured representation of concepts and the relationships which connect them. This work investigates how a pre-existing educational Biology ontology can be used to generate useful practice questions for students by using the connectivity structure in a novel way. It also introduces a novel way to generate multiple-choice distractors from the ontology, and compares this to a baseline of using embedding representations of nodes. An assessment by an experienced science teacher shows a significant advantage over a baseline when using the ontology for distractor generation. A subsequent study with three science teachers on the results of a modified question generation algorithm finds significant improvements. An in-depth analysis of the teachers{'} comments yields useful insights for any researcher working on automated question generation for educational applications.",
}
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%0 Conference Proceedings
%T Multiple Choice Question Generation Utilizing An Ontology
%A Stasaski, Katherine
%A Hearst, Marti A.
%Y Tetreault, Joel
%Y Burstein, Jill
%Y Leacock, Claudia
%Y Yannakoudakis, Helen
%S Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F stasaski-hearst-2017-multiple
%X Ontologies provide a structured representation of concepts and the relationships which connect them. This work investigates how a pre-existing educational Biology ontology can be used to generate useful practice questions for students by using the connectivity structure in a novel way. It also introduces a novel way to generate multiple-choice distractors from the ontology, and compares this to a baseline of using embedding representations of nodes. An assessment by an experienced science teacher shows a significant advantage over a baseline when using the ontology for distractor generation. A subsequent study with three science teachers on the results of a modified question generation algorithm finds significant improvements. An in-depth analysis of the teachers’ comments yields useful insights for any researcher working on automated question generation for educational applications.
%R 10.18653/v1/W17-5034
%U https://aclanthology.org/W17-5034
%U https://doi.org/10.18653/v1/W17-5034
%P 303-312
Markdown (Informal)
[Multiple Choice Question Generation Utilizing An Ontology](https://aclanthology.org/W17-5034) (Stasaski & Hearst, BEA 2017)
ACL