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Telegram: a grammar formalism for language planning

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Douglas E. AppeltAuthors Info & Claims

ACL '83: Proceedings of the 21st annual meeting on Association for Computational Linguistics

Pages 74 - 78

https://doi.org/10.3115/981311.981325

Published: 15 June 1983 Publication History

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Abstract

Planning provides the basis for a theory of language generation that considers the communicative goals of the speaker when producing utterances. One central problem in designing a system based on such a theory is specifying the requisite linguistic knowledge in a form that interfaces well with a planning system and allows for the encoding of discourse information. The TELEGRAM (TELEological GRAMmar) system described in this paper solves this problem by annotating a unification grammar with assertions about how grammatical choices are used to achieve various goals, and by enabling the planner to augment the functional description of an utterance as it is being unified. The control structures of the planner and the grammar unifier are then merged in a manner that makes it possible for general planning to be guided by unification of a particular functional description.

References

[1]

Appelt, Douglas E., Planning Natural Language Utterances to Satisfy Multiple Goals, SRI International Artificial Intelligence Center Technical Note No. 259, 1982.

Google Scholar

[2]

Cohen, Philip and C. R. Perrault, Elements of a Plan-Based Theory of Speech Acts, Cognitive Science, vol. 3, pp. 177--212, 1979.

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Google Scholar

[3]

Cohen, Philip, The Need for Identificaion as a Planned Action, Proceedings of the Seventh International Joint Conference on Artificial Intelligence, 1981.

Google Scholar

[4]

Cohen, Philip, S. Fertig and K. Starr, Dependencies of Discourse Structure on the Modality of Communication: Telephone vs. Teletype, Proceedings of the Twentieth Annual Meeting of the Association for Computational Linguistics, 1982.

Digital Library

Google Scholar

[5]

Conklin, E. Jeffery, and D. McDonald, Salience: The Key to the Selection Problem in Natural Language Generation. Proceedings of the Twentieth Annual Meeting of the Association for Computational Linguistics, 1982.

Digital Library

Google Scholar

[6]

Halliday, M. A. K., System and Function in Language, Oxford University Press, London, 1976

Google Scholar

[7]

Kay, Martin, Functional Grammar, Proceedings of the Annual Meeting of the Linguistic Society of America, 1979.

Google Scholar

[8]

Kay, Martin, Unification Grammar, Xerox PARC tech report.

Google Scholar

[9]

Kay, Martin, An Algorithm for Compiling Parsing Tables from a Grammar

Google Scholar

[10]

Mann, William C., and Christian Matthiessen, Nigel: A Systemic Grammar for Text Generation, University of Southern California Information Sciences Institute Technical Report ISI/RR-83--105, February, 1983.

Google Scholar

[11]

McKeown, Kathleen, Generating Natural Language Text in Response to Questions about Database Structure, Ph.D. dissertation, University of Pennsylvania, 1982.

Digital Library

Google Scholar

Cited By

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Rubinoff R(2000)Integrating text planning and linguistic choice without abandoning modularityComputational Linguistics10.1162/08912010056165626:2(107-138)Online publication date: 1-Jun-2000
https://dl.acm.org/doi/10.1162/089120100561656
Chin D(2000)Planning Intelligent Responses in a Natural Language SystemArtificial Intelligence Review10.1023/A:102644371501514:4-5(283-331)Online publication date: 1-Oct-2000
https://dl.acm.org/doi/10.1023/A%3A1026443715015
Elhadad MRobin JMcKeown K(1997)Floating constraints in lexical choiceComputational Linguistics10.5555/972695.97269623:2(195-239)Online publication date: 1-Jun-1997
https://dl.acm.org/doi/10.5555/972695.972696
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Telegram: a grammar formalism for language planning
1. Computing methodologies
  1. Artificial intelligence
2. Hardware
  1. Power and energy
    1. Power estimation and optimization

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Published In

ACL '83: Proceedings of the 21st annual meeting on Association for Computational Linguistics

June 1983

178 pages

Program Chair:
Mitch Marcus
Bell Laboratories

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Association for Computational Linguistics

United States

Publication History

Published: 15 June 1983

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Rubinoff R(2000)Integrating text planning and linguistic choice without abandoning modularityComputational Linguistics10.1162/08912010056165626:2(107-138)Online publication date: 1-Jun-2000
https://dl.acm.org/doi/10.1162/089120100561656
Chin D(2000)Planning Intelligent Responses in a Natural Language SystemArtificial Intelligence Review10.1023/A:102644371501514:4-5(283-331)Online publication date: 1-Oct-2000
https://dl.acm.org/doi/10.1023/A%3A1026443715015
Elhadad MRobin JMcKeown K(1997)Floating constraints in lexical choiceComputational Linguistics10.5555/972695.97269623:2(195-239)Online publication date: 1-Jun-1997
https://dl.acm.org/doi/10.5555/972695.972696
Demasco PMcCoy K(1992)Generating text from compressed inputCommunications of the ACM10.1145/129875.12988135:5(68-78)Online publication date: 1-May-1992
https://dl.acm.org/doi/10.1145/129875.129881
Hovy EHobbs J(1988)Two types of planning in language generationProceedings of the 26th annual meeting on Association for Computational Linguistics10.3115/982023.982045(179-186)Online publication date: 7-Jun-1988
https://dl.acm.org/doi/10.3115/982023.982045
Jacobs PNagao M(1986)Knowledge structures for natural language generationProceedings of the 11th coference on Computational linguistics10.3115/991365.991527(554-559)Online publication date: 25-Aug-1986
https://dl.acm.org/doi/10.3115/991365.991527
Derr MMcKeown K(1984)Using focus to generate complex and simple sentencesProceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics10.3115/980491.980556(319-326)Online publication date: 2-Jul-1984
https://dl.acm.org/doi/10.3115/980491.980556

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