Automatic question generation for supporting argumentation

Abstract Given a discussion topic, students may sometimes not proceed with their argumentation. Can questions which are semantically related to a given discussion topic help students develop further arguments? In this paper, we introduce a technical approach to generating questions upon the request...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Le, Nguyen-Thinh [verfasserIn] Nguyen, Nhu-Phuong Seta, Kazuhisa Pinkwart, Niels

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2014

Schlagwörter:	Question generation Argumentation WordNet

Anmerkung:	© The Author(s) 2014. This article is published under license to BioMed Central Ltd.

Übergeordnetes Werk:	Enthalten in: Vietnam journal of computer science - Berlin : SpringerOpen, 2014, 1(2014), 2 vom: 13. Feb., Seite 117-127
Übergeordnetes Werk:	volume:1 ; year:2014 ; number:2 ; day:13 ; month:02 ; pages:117-127

Links:	Volltext

DOI / URN:	10.1007/s40595-014-0014-9

Katalog-ID:	SPR036702218

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author	Le, Nguyen-Thinh
spellingShingle	Le, Nguyen-Thinh misc Question generation misc Argumentation misc WordNet Automatic question generation for supporting argumentation
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title	Automatic question generation for supporting argumentation
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title_full	Automatic question generation for supporting argumentation
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title_sort	automatic question generation for supporting argumentation
title_auth	Automatic question generation for supporting argumentation
abstract	Abstract Given a discussion topic, students may sometimes not proceed with their argumentation. Can questions which are semantically related to a given discussion topic help students develop further arguments? In this paper, we introduce a technical approach to generating questions upon the request of students during the process of collaborative argumentation. The contribution of this paper lies in combining different NLP technologies and exploiting semantic information to support users develop their arguments in a discussion session via tailored questions of different types. © The Author(s) 2014. This article is published under license to BioMed Central Ltd.
abstractGer	Abstract Given a discussion topic, students may sometimes not proceed with their argumentation. Can questions which are semantically related to a given discussion topic help students develop further arguments? In this paper, we introduce a technical approach to generating questions upon the request of students during the process of collaborative argumentation. The contribution of this paper lies in combining different NLP technologies and exploiting semantic information to support users develop their arguments in a discussion session via tailored questions of different types. © The Author(s) 2014. This article is published under license to BioMed Central Ltd.
abstract_unstemmed	Abstract Given a discussion topic, students may sometimes not proceed with their argumentation. Can questions which are semantically related to a given discussion topic help students develop further arguments? In this paper, we introduce a technical approach to generating questions upon the request of students during the process of collaborative argumentation. The contribution of this paper lies in combining different NLP technologies and exploiting semantic information to support users develop their arguments in a discussion session via tailored questions of different types. © The Author(s) 2014. This article is published under license to BioMed Central Ltd.
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title_short	Automatic question generation for supporting argumentation
url	https://dx.doi.org/10.1007/s40595-014-0014-9
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author2	Nguyen, Nhu-Phuong Seta, Kazuhisa Pinkwart, Niels
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up_date	2024-07-03T19:11:01.779Z
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