Deep domain models for discourse analysis.

Leo Joskowicz; Tomasz Ksiezyk; Ralph Grishman

Deep domain models for discourse analysis.

Leo Joskowicz, Tomasz Ksiezyk, Ralph Grishman

Computer Science

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

Abstract

The authors address the problem of discourse analysis, and in particular finding causal relations between facts mentioned in messages, using a detailed domain model. This work is part of the PROTEUS (Prototype Text Understanding System) project, whose objective is to understand short narrative message about equipment installed in Navy ships. Casualty reports (CASREPs) describe failures of this equipment, together with maintenance actions performed by the crew on board. To capture the domain knowledge, the authors built a model of the equipment installed on the ship (initially, the starting air system) and demonstrated its use in several aspects of language understanding. The PROTEUS system has been substantially implemented and debugged and has been publically demonstrated operating on a small set of actual CASREPs.

Original language	English (US)
Title of host publication	Proc Annu AI Syst Gov Conf
Editors	James H. Antonisse, John W. Benoit, Barry G. Silverman
Pages	195-200
Number of pages	6
State	Published - 1989
Event	Proceedings of the Annual AI Systems in Government Conference - Washington, DC, USA Duration: Mar 27 1989 → Mar 31 1989

Publication series

Name	Proc Annu AI Syst Gov Conf

Other

Other	Proceedings of the Annual AI Systems in Government Conference
City	Washington, DC, USA
Period	3/27/89 → 3/31/89

ASJC Scopus subject areas

General Engineering

Cite this

@inproceedings{771561205e3f4031b47f3f52a83e94be,

title = "Deep domain models for discourse analysis.",

abstract = "The authors address the problem of discourse analysis, and in particular finding causal relations between facts mentioned in messages, using a detailed domain model. This work is part of the PROTEUS (Prototype Text Understanding System) project, whose objective is to understand short narrative message about equipment installed in Navy ships. Casualty reports (CASREPs) describe failures of this equipment, together with maintenance actions performed by the crew on board. To capture the domain knowledge, the authors built a model of the equipment installed on the ship (initially, the starting air system) and demonstrated its use in several aspects of language understanding. The PROTEUS system has been substantially implemented and debugged and has been publically demonstrated operating on a small set of actual CASREPs.",

author = "Leo Joskowicz and Tomasz Ksiezyk and Ralph Grishman",

year = "1989",

language = "English (US)",

isbn = "0818619341",

series = "Proc Annu AI Syst Gov Conf",

pages = "195--200",

editor = "Antonisse, {James H.} and Benoit, {John W.} and Silverman, {Barry G.}",

booktitle = "Proc Annu AI Syst Gov Conf",

note = "Proceedings of the Annual AI Systems in Government Conference ; Conference date: 27-03-1989 Through 31-03-1989",

}

TY - GEN

T1 - Deep domain models for discourse analysis.

AU - Joskowicz, Leo

AU - Ksiezyk, Tomasz

AU - Grishman, Ralph

PY - 1989

Y1 - 1989

N2 - The authors address the problem of discourse analysis, and in particular finding causal relations between facts mentioned in messages, using a detailed domain model. This work is part of the PROTEUS (Prototype Text Understanding System) project, whose objective is to understand short narrative message about equipment installed in Navy ships. Casualty reports (CASREPs) describe failures of this equipment, together with maintenance actions performed by the crew on board. To capture the domain knowledge, the authors built a model of the equipment installed on the ship (initially, the starting air system) and demonstrated its use in several aspects of language understanding. The PROTEUS system has been substantially implemented and debugged and has been publically demonstrated operating on a small set of actual CASREPs.

AB - The authors address the problem of discourse analysis, and in particular finding causal relations between facts mentioned in messages, using a detailed domain model. This work is part of the PROTEUS (Prototype Text Understanding System) project, whose objective is to understand short narrative message about equipment installed in Navy ships. Casualty reports (CASREPs) describe failures of this equipment, together with maintenance actions performed by the crew on board. To capture the domain knowledge, the authors built a model of the equipment installed on the ship (initially, the starting air system) and demonstrated its use in several aspects of language understanding. The PROTEUS system has been substantially implemented and debugged and has been publically demonstrated operating on a small set of actual CASREPs.

UR - http://www.scopus.com/inward/record.url?scp=0024863616&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0024863616&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0024863616

SN - 0818619341

T3 - Proc Annu AI Syst Gov Conf

SP - 195

EP - 200

BT - Proc Annu AI Syst Gov Conf

A2 - Antonisse, James H.

A2 - Benoit, John W.

A2 - Silverman, Barry G.

T2 - Proceedings of the Annual AI Systems in Government Conference

Y2 - 27 March 1989 through 31 March 1989

ER -

Deep domain models for discourse analysis.

Abstract

Publication series

Other

ASJC Scopus subject areas

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