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Applied text generation

Authors:

Owen Rambow,

Tanya KorelskyAuthors Info & Claims

ANLC '92: Proceedings of the third conference on Applied natural language processing

Pages 40 - 47

https://doi.org/10.3115/974499.974508

Published: 31 March 1992 Publication History

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References

[1]

Carcagno, Denis and Iordanskaja, Lidija, 1989. Content Determination and Text Structuring in Gossip. In Proceedings of the Second European Workshop on Text Generation. Edinburgh.

Google Scholar

[2]

Dale, Robert, 1988. Generating Referring Expressions in a Domain of Objects and Processes. PhD thesis, University of Edinburgh.

Digital Library

Google Scholar

[3]

Derr, Marcia A. and McKeown, Kathleen R., 1986. Using Focus to Generate Complex and Simple Sentences. In 24thMeeting of the Association for Computational Linguistics (ACL'86), ACL, pages 319--326.

Digital Library

Google Scholar

[4]

Emele, Martin and Momma, Stefan, 1985. SUTRAS: Erweiterungen eines Generator-Front-End für das SEMSYN-Projekt. Technical Report, Universtät Stuttgart.

Google Scholar

[5]

Gabriel, Richard P., 1988. Deliberate Writing. In McDonald, David D. and Bolc, Leonard (editors), Natural Language Generation Systems, pages 1--46. Springer Verlag.

Digital Library

Google Scholar

[6]

Harbusch, Karin; Finkler, Wolfgang; and Schauder, Anne, 1991. Incremental Syntax Generation with Tree Adjoining Grammars. In Proceedings 4.Int. GI-Kongress Wissensbasierte Systeme, GWAI. München.

Digital Library

Google Scholar

[7]

Hovy, Eduard H., 1988. Planning coherent multisentential text. In Proceedings of the 26th Annual Meeting, ACL, pages 163--169. Buffalo.

Digital Library

Google Scholar

[8]

Iordanskaja, Lidija, 1989. Communicative Structure and Its Use During Text Generation. Technical Report TR 15-10, Odyssey Research Associates, Ithaca, NY/Montréal, PQ.

Google Scholar

[9]

Iordanskaja, Lidija; Kittredge, Richard; and Polguère, Alain, 1988. Implementing the Meaning-Text Model for Language Generation. Paper presented at COLING-88.

Google Scholar

[10]

Iordanskaja, Lidija; Kittredge, Richard; and Polguère, Alain, 1991. Lexical Selection and Paraphrase in a Meaning-Text Generation Model. In Paris, Cecile; Swartout, William; and Mann, William (editors), Natural Language Generation in Artifical Intelligence and Computational Linguistics, pages 293--312. Kluwer Academic Publishers.

Google Scholar

[11]

Kittredge, Richard; Korelsky, Tanya; and Rambow, Owen, 1991. On the Need for Domain Communication Knowledge. Computational Intelligence 7(4).

Google Scholar

[12]

Kuno, S., 1976. Subject, theme and the speaker's empathy - a reexamination of relativization phenomena. In Li, Charles N. (editor), Subject and Topic, pages 417--444. Academic Press.

Google Scholar

[13]

McDonald, David D.; Meteer (Vaughan), Marie W.; and Pustejovsky, James D., 1987. Factors contributing to efficiency in Natural Language Generation. In Kempen, Gerard (editor), Natural Language Generation, pages 159--181. Martinus Nijhoff Publishers.

Crossref

Google Scholar

[14]

McKeown, Kathleen, 1985. Text Generation. Cambridge University Press, Cambridge.

Google Scholar

[15]

Mel'čuk, Igor A. 1988. Dependency Syntax: Theory and Practice. State University of New York Press, New York.

Google Scholar

[16]

Mel'čuk, Igor A. and Pertsov, Nikolaj V., 1987. Surface Syntax of English. John Benjamins, Amsterdam/Philadelphia.

Google Scholar

[17]

Meteer, Marie W., 1989. The SPOKESMAN Natural Language Generation System. Technical Report, BBN Systems and Technologies Corporation.

Google Scholar

[18]

Meteer, Marie W., 1990. The 'Generation Gap': The Problem of Expressibility in Text Planning. Technical Report 7347, BBN Systems and Technologies Corporation.

Digital Library

Google Scholar

[19]

Meteer, Marie W., 1991. The Implication of Revisions for Natural Language Generation. In Paris, Cecile; Swartout, William; and Mann, William (editors), Natural Language Generation in Artifical Intelligence and Computational Linguistics, pages 155--177. Kluwer Academic Publishers.

Google Scholar

[20]

Paris, Cecile L. and McKeown, Kathleen R., 1987. Discourse Strategies for Describing Complex Physical Objects. In Kempen, Gerard (editor), Natural Language Generation, pages 97--115. Martinus Nijhoff Publishers.

Crossref

Google Scholar

[21]

Rambow, Owen, 1990. Domain Communication Knowledge. In Proceedings of the Fifth International Workshop on Natural Language Generation. Dawson, PA.

Google Scholar

[22]

Rösner, Dietmar, 1987. The Automated News Agency SEMTEX - a Text Generator for German. In Kempen, G. (editor), Natural Language Generation: New Results in Artificial Intelligence, Psychology and Linguistics, pages 138--148. Kluwer Academic Publishers, Boston.

Google Scholar

[23]

Rösner, Dietmar, 1988. The SEMSYN Generation System: Ingredients, Applications, Prospects. In Proceedings of the Second Conference on Applied Natural Language Processing, ACL. Austin.

Digital Library

Google Scholar

[24]

Scott, Donia R. and de Souza, Clarisse Sieckenius, 1990. Getting the message across in RST-based Text Generation. In Dale, Robert; Mellish, Chris; and Zock, Michael (editors), Current Research in Natural Langugae Generation. Academic Press, London.

Digital Library

Google Scholar

[25]

Wahlster, Wolfgang; Andre, Elisabeth; Graf, Winfried; and Rist, Thomas, 1991. WIP: The Coordinated Generation of Multimodal Presentations from a Common Representation. In Proceedings of the 5th Conference of the European Chapter, ACL. Berlin.

Google Scholar

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Walker MStent AMairesse FPrasad R(2007)Individual and domain adaptation in sentence planning for dialogueJournal of Artificial Intelligence Research10.5555/1622637.162264830:1(413-456)Online publication date: 1-Nov-2007
https://dl.acm.org/doi/10.5555/1622637.1622648
Stent APrasad RWalker MScott D(2004)Trainable sentence planning for complex information presentation in spoken dialog systemsProceedings of the 42nd Annual Meeting on Association for Computational Linguistics10.3115/1218955.1218966(79-es)Online publication date: 21-Jul-2004
https://dl.acm.org/doi/10.3115/1218955.1218966
Walker MRambow ORogati M(2001)SPoTProceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies10.3115/1073336.1073339(1-8)Online publication date: 2-Jun-2001
https://dl.acm.org/doi/10.3115/1073336.1073339
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Applied text generation
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Recommendations

Review of "Text generation: using discourse strategies and focus constraints to generate natural language text" by Kathleen R. McKeown. Cambridge University Press 1985. And review of "Planning English sentences" by Douglas E. Appelt. Cambridge University Press 1985.
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Published In

ANLC '92: Proceedings of the third conference on Applied natural language processing

March 1992

273 pages

Program Chairs:
Madeleine Bates
BBN Systems and Technologies
,
Oliviero Stock
IRST, Istituto per la Ricerca Scientifica e Tecnologica

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Association for Computational Linguistics

United States

Publication History

Published: 31 March 1992

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Walker MStent AMairesse FPrasad R(2007)Individual and domain adaptation in sentence planning for dialogueJournal of Artificial Intelligence Research10.5555/1622637.162264830:1(413-456)Online publication date: 1-Nov-2007
https://dl.acm.org/doi/10.5555/1622637.1622648
Stent APrasad RWalker MScott D(2004)Trainable sentence planning for complex information presentation in spoken dialog systemsProceedings of the 42nd Annual Meeting on Association for Computational Linguistics10.3115/1218955.1218966(79-es)Online publication date: 21-Jul-2004
https://dl.acm.org/doi/10.3115/1218955.1218966
Walker MRambow ORogati M(2001)SPoTProceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies10.3115/1073336.1073339(1-8)Online publication date: 2-Jun-2001
https://dl.acm.org/doi/10.3115/1073336.1073339
Rambow ORogati MWalker MWebber B(2001)Evaluating a trainable sentence planner for a spoken dialogue systemProceedings of the 39th Annual Meeting on Association for Computational Linguistics10.3115/1073012.1073068(434-441)Online publication date: 6-Jul-2001
https://dl.acm.org/doi/10.3115/1073012.1073068
Hardt DRambow OWebber B(2001)Generation of VP ellipsisProceedings of the 39th Annual Meeting on Association for Computational Linguistics10.3115/1073012.1073050(290-297)Online publication date: 6-Jul-2001
https://dl.acm.org/doi/10.3115/1073012.1073050
Rambow OBangalore SWalker M(2001)Natural language generation in dialog systemsProceedings of the first international conference on Human language technology research10.3115/1072133.1072207(1-4)Online publication date: 18-Mar-2001
https://dl.acm.org/doi/10.3115/1072133.1072207
Bangalore SRambow OKay M(2000)Exploiting a probabilistic hierarchical model for generationProceedings of the 18th conference on Computational linguistics - Volume 110.3115/990820.990827(42-48)Online publication date: 31-Jul-2000
https://dl.acm.org/doi/10.3115/990820.990827
Lavoie BKittredge RKorelsky TRambow ONirenburg S(2000)A framework for MT and multilingual NLG systems based on uniform lexico-structural processingProceedings of the sixth conference on Applied natural language processing10.3115/974147.974156(60-67)Online publication date: 29-Apr-2000
https://dl.acm.org/doi/10.3115/974147.974156
Stone MElhadad M(2000)On identifying setsProceedings of the first international conference on Natural language generation - Volume 1410.3115/1118253.1118270(116-123)Online publication date: 12-Jun-2000
https://dl.acm.org/doi/10.3115/1118253.1118270
Shaw JMcKeown KElhadad M(2000)Generating referring quantified expressionsProceedings of the first international conference on Natural language generation - Volume 1410.3115/1118253.1118268(100-107)Online publication date: 12-Jun-2000
https://dl.acm.org/doi/10.3115/1118253.1118268
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Recommendations

Review of "Text generation: using discourse strategies and focus constraints to generate natural language text" by Kathleen R. McKeown. Cambridge University Press 1985. And review of "Planning English sentences" by Douglas E. Appelt. Cambridge University Press 1985.

Research on Text Generation Techniques Combining Machine Learning and Deep Learning

Artificial intelligence researchers: Alan Turing, Marvin Minsky, Seymour Papert, Joseph Weizenbaum, Kevin Warwick, Ray Kurzweil

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