@article{olney-etal-2012-question,
title = "Question Generation from Concept Maps",
author = "Olney, Andrew M. and
Graesser, Arthur C. and
Person, Natalie K.",
editor = "Aist, Gregory and
Piwek, Paul and
Boyer, Kristy Elizabeth",
journal = "Dialogue {\&} Discourse",
volume = "3",
month = mar,
year = "2012",
address = "Bielefeld, Germany",
publisher = "University of Bielefeld",
url = "https://aclanthology.org/2012.dnd-3.5/",
doi = "10.5087/dad.2012.204",
pages = "75--99",
abstract = "In this paper we present a question generation approach suitable for tutorial dialogues. The approach is based on previous psychological theories that hypothesize questions are generated from a knowledge representation modeled as a concept map. Our model automatically extracts concept maps from a textbook and uses them to generate questions. The purpose of the study is to generate and evaluate pedagogically-appropriate questions at varying levels of specificity across one or more sentences. The evaluation metrics include scales from the Question Generation Shared Task and Evaluation Challenge and a new scale specific to the pedagogical nature of questions in tutoring."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="olney-etal-2012-question">
<titleInfo>
<title>Question Generation from Concept Maps</title>
</titleInfo>
<name type="personal">
<namePart type="given">Andrew</namePart>
<namePart type="given">M</namePart>
<namePart type="family">Olney</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Arthur</namePart>
<namePart type="given">C</namePart>
<namePart type="family">Graesser</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Natalie</namePart>
<namePart type="given">K</namePart>
<namePart type="family">Person</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2012-03</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<genre authority="bibutilsgt">journal article</genre>
<relatedItem type="host">
<titleInfo>
<title>Dialogue & Discourse</title>
</titleInfo>
<originInfo>
<issuance>continuing</issuance>
<publisher>University of Bielefeld</publisher>
<place>
<placeTerm type="text">Bielefeld, Germany</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">periodical</genre>
<genre authority="bibutilsgt">academic journal</genre>
</relatedItem>
<abstract>In this paper we present a question generation approach suitable for tutorial dialogues. The approach is based on previous psychological theories that hypothesize questions are generated from a knowledge representation modeled as a concept map. Our model automatically extracts concept maps from a textbook and uses them to generate questions. The purpose of the study is to generate and evaluate pedagogically-appropriate questions at varying levels of specificity across one or more sentences. The evaluation metrics include scales from the Question Generation Shared Task and Evaluation Challenge and a new scale specific to the pedagogical nature of questions in tutoring.</abstract>
<identifier type="citekey">olney-etal-2012-question</identifier>
<identifier type="doi">10.5087/dad.2012.204</identifier>
<location>
<url>https://aclanthology.org/2012.dnd-3.5/</url>
</location>
<part>
<date>2012-03</date>
<detail type="volume"><number>3</number></detail>
<extent unit="page">
<start>75</start>
<end>99</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Journal Article
%T Question Generation from Concept Maps
%A Olney, Andrew M.
%A Graesser, Arthur C.
%A Person, Natalie K.
%J Dialogue & Discourse
%D 2012
%8 March
%V 3
%I University of Bielefeld
%C Bielefeld, Germany
%F olney-etal-2012-question
%X In this paper we present a question generation approach suitable for tutorial dialogues. The approach is based on previous psychological theories that hypothesize questions are generated from a knowledge representation modeled as a concept map. Our model automatically extracts concept maps from a textbook and uses them to generate questions. The purpose of the study is to generate and evaluate pedagogically-appropriate questions at varying levels of specificity across one or more sentences. The evaluation metrics include scales from the Question Generation Shared Task and Evaluation Challenge and a new scale specific to the pedagogical nature of questions in tutoring.
%R 10.5087/dad.2012.204
%U https://aclanthology.org/2012.dnd-3.5/
%U https://doi.org/10.5087/dad.2012.204
%P 75-99
Markdown (Informal)
[Question Generation from Concept Maps](https://aclanthology.org/2012.dnd-3.5/) (Olney et al., DND 2012)
ACL