Interpretation and generation in a knowledge-based tutorial system

Myroslava O. Dzikovska; Charles B. Callaway; Elaine Farrow

Interpretation and generation in a knowledge-based tutorial system

Myroslava O. Dzikovska, Charles B. Callaway, Elaine Farrow

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We discuss how deep interpretation and generation can be integrated with a knowledge representation designed for question answering to build a tutorial dialogue system. We use a knowledge representation known to perform well in answering exam-type questions and show that to support tutorial dialogue it needs additional features, in particular, compositional representations for interpretation and structured explanation representations.

Original language	English
Title of host publication	Proceedings of the Workshop KRAQ'06 on Knowledge and Reasoning for Language Processing
Place of Publication	Trento, Italy
Publisher	Association for Computational Linguistics
Pages	4-11
Number of pages	8
Publication status	Published - Apr 2006
Event	Knowledge and Reasoning for Language Processing - Trento, Italy Duration: 3 Apr 2006 → 7 Apr 2006

Conference

Conference	Knowledge and Reasoning for Language Processing
Abbreviated title	KRAQ 06
Country/Territory	Italy
City	Trento
Period	3/04/06 → 7/04/06

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Dzikovska, M. O., Callaway, C. B., & Farrow, E. (2006). Interpretation and generation in a knowledge-based tutorial system. In Proceedings of the Workshop KRAQ'06 on Knowledge and Reasoning for Language Processing (pp. 4-11). Association for Computational Linguistics. http://portal.acm.org/ft_gateway.cfm?id=1641496&type=pdf&coll=DL&dl=GUIDE&CFID=26772021&CFTOKEN=99921861

@inproceedings{f9376c1a9f3b456f9ef769f6d0ae6083,

title = "Interpretation and generation in a knowledge-based tutorial system",

abstract = "We discuss how deep interpretation and generation can be integrated with a knowledge representation designed for question answering to build a tutorial dialogue system. We use a knowledge representation known to perform well in answering exam-type questions and show that to support tutorial dialogue it needs additional features, in particular, compositional representations for interpretation and structured explanation representations.",

author = "Dzikovska, {Myroslava O.} and Callaway, {Charles B.} and Elaine Farrow",

year = "2006",

month = apr,

language = "English",

pages = "4--11",

booktitle = "Proceedings of the Workshop KRAQ'06 on Knowledge and Reasoning for Language Processing",

publisher = "Association for Computational Linguistics",

note = "Knowledge and Reasoning for Language Processing, KRAQ 06 ; Conference date: 03-04-2006 Through 07-04-2006",

}

Dzikovska, MO, Callaway, CB & Farrow, E 2006, Interpretation and generation in a knowledge-based tutorial system. in Proceedings of the Workshop KRAQ'06 on Knowledge and Reasoning for Language Processing. Association for Computational Linguistics, Trento, Italy, pp. 4-11, Knowledge and Reasoning for Language Processing, Trento, Italy, 3/04/06. <http://portal.acm.org/ft_gateway.cfm?id=1641496&type=pdf&coll=DL&dl=GUIDE&CFID=26772021&CFTOKEN=99921861>

Interpretation and generation in a knowledge-based tutorial system. / Dzikovska, Myroslava O.; Callaway, Charles B.; Farrow, Elaine.
Proceedings of the Workshop KRAQ'06 on Knowledge and Reasoning for Language Processing. Trento, Italy: Association for Computational Linguistics, 2006. p. 4-11.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Interpretation and generation in a knowledge-based tutorial system

AU - Dzikovska, Myroslava O.

AU - Callaway, Charles B.

AU - Farrow, Elaine

PY - 2006/4

Y1 - 2006/4

N2 - We discuss how deep interpretation and generation can be integrated with a knowledge representation designed for question answering to build a tutorial dialogue system. We use a knowledge representation known to perform well in answering exam-type questions and show that to support tutorial dialogue it needs additional features, in particular, compositional representations for interpretation and structured explanation representations.

AB - We discuss how deep interpretation and generation can be integrated with a knowledge representation designed for question answering to build a tutorial dialogue system. We use a knowledge representation known to perform well in answering exam-type questions and show that to support tutorial dialogue it needs additional features, in particular, compositional representations for interpretation and structured explanation representations.

M3 - Conference contribution

SP - 4

EP - 11

BT - Proceedings of the Workshop KRAQ'06 on Knowledge and Reasoning for Language Processing

PB - Association for Computational Linguistics

CY - Trento, Italy

T2 - Knowledge and Reasoning for Language Processing

Y2 - 3 April 2006 through 7 April 2006

ER -

Interpretation and generation in a knowledge-based tutorial system

Abstract

Conference

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