Abstract
In discourse produced by human speakers, the technical information is often interleaved with rhetorical devices such as contradictions, illustrations and analogies. These rhetorical devices carry important information which assists the listener in assimilating the imparted knowledge. In this paper, we present a taxonomy of rhetorical devices commonly used in a tutoring environment, and model their meaning in terms of their anticipated effect on a listener’s knowledge. These predictions are then used in planning computer generated discourse. As a testbed for our ideas, we are implementing a system, called WISHFUL, to generate commentaries in the domain of high-school algebra within the framework of an Intelligent Tutoring System.
| Original language | English |
|---|---|
| Title of host publication | AI 1988 - 2nd Australian Joint Artificial Intelligence Conference, Proceedings |
| Publisher | Springer-Verlag London Ltd. |
| Pages | 124-139 |
| Number of pages | 16 |
| ISBN (Print) | 9783540520627 |
| DOIs | |
| Publication status | Published - 1 Jan 1990 |
| Event | 2nd Australian Joint Artificial Intelligence Conference, AI 1988 - Adelaide, Australia Duration: 15 Nov 1988 → 18 Nov 1988 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 406 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 2nd Australian Joint Artificial Intelligence Conference, AI 1988 |
|---|---|
| Country | Australia |
| City | Adelaide |
| Period | 15/11/88 → 18/11/88 |
Keywords
- Discourse generation
- Intelligent tutoring systems
- Listener model
- Natural language
Cite this
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Contradictions and revisions as explanatory aids in the delivery of technical information. / Zukerman, Ingrid; Cheong, Yee Han.
AI 1988 - 2nd Australian Joint Artificial Intelligence Conference, Proceedings. Springer-Verlag London Ltd., 1990. p. 124-139 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 406 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
TY - GEN
T1 - Contradictions and revisions as explanatory aids in the delivery of technical information
AU - Zukerman, Ingrid
AU - Cheong, Yee Han
PY - 1990/1/1
Y1 - 1990/1/1
N2 - In discourse produced by human speakers, the technical information is often interleaved with rhetorical devices such as contradictions, illustrations and analogies. These rhetorical devices carry important information which assists the listener in assimilating the imparted knowledge. In this paper, we present a taxonomy of rhetorical devices commonly used in a tutoring environment, and model their meaning in terms of their anticipated effect on a listener’s knowledge. These predictions are then used in planning computer generated discourse. As a testbed for our ideas, we are implementing a system, called WISHFUL, to generate commentaries in the domain of high-school algebra within the framework of an Intelligent Tutoring System.
AB - In discourse produced by human speakers, the technical information is often interleaved with rhetorical devices such as contradictions, illustrations and analogies. These rhetorical devices carry important information which assists the listener in assimilating the imparted knowledge. In this paper, we present a taxonomy of rhetorical devices commonly used in a tutoring environment, and model their meaning in terms of their anticipated effect on a listener’s knowledge. These predictions are then used in planning computer generated discourse. As a testbed for our ideas, we are implementing a system, called WISHFUL, to generate commentaries in the domain of high-school algebra within the framework of an Intelligent Tutoring System.
KW - Discourse generation
KW - Intelligent tutoring systems
KW - Listener model
KW - Natural language
UR - http://www.scopus.com/inward/record.url?scp=85031896712&partnerID=8YFLogxK
U2 - 10.1007/3-540-52062-7_75
DO - 10.1007/3-540-52062-7_75
M3 - Conference Paper
SN - 9783540520627
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 124
EP - 139
BT - AI 1988 - 2nd Australian Joint Artificial Intelligence Conference, Proceedings
PB - Springer-Verlag London Ltd.
ER -