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Creating natural language ouput for real-time applications

Editor: Christopher Welty Authors:

Susan W. McRoy,

Songsak Channarukul,

Syed S. AliAuthors Info & Claims

intelligence, Volume 12, Issue 2

Pages 21 - 34

https://doi.org/10.1145/378116.378122

Published: 01 June 2001 Publication History

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References

[1]

Busemann, S. 1996. Best-first surface realization. In Proceedings of the Eighth International Workshop on Natural Language Generation (D. Scott, ed.), pp. 101-110.

Google Scholar

[2]

Busemann, S. and Horacek, H. 1998. A flexible shallow approach to text generation. In Proceedings of the Ninth International Workshop on Natural Language Generation, pp. 238-247.

Google Scholar

[3]

Channarukul, S., McRoy, S.W., and Ali, S.S. 2000. Enriching Partially Specified Representations for Text Realization using an Attribute Grammar. In Proceedings of the First International Natural Language Generation Conference, Israel (June).

Digital Library

Google Scholar

[4]

Elhadad, M. 1992. Using argumentation to control lexical choice: A functional unification-based approach. Doctoral dissertation. Computer Science Department, Columbia University, New York.

Digital Library

Google Scholar

[5]

Elhadad, M. 1993.FUF: The universal unifier. User manual, version 5.2. Technical Report CUCS-038- 91. Columbia University, New York.

Google Scholar

[6]

Elhadad, M. and Robin, J. 1996. An overview of SURGE: a reusable comprehensive syntactic realization component. Technical Report 96-03. Department of Computer Science, Ben Gurion University, Beer Sheva, Israel.

Google Scholar

[7]

Elhadad, M. and Robin, J. 19xx. SURGE: a comprehensive plug-in syntactic realization component for text generation. Technical report. Department of Computer Science, Ben Gurion University, Beer Sheva, Israel, and Universidade Federal de Pernambuco, Brazil.

Google Scholar

[8]

Halliday, M.A.K. 1994. An Introduction to Function Grammar. 2nd ed.Edward Arnold, London.

Google Scholar

[9]

Hovy, E. 1997. Language Generation: Overview (Chapter 4.1). In Survey of The State of the Art in Human Language Technology, Studies in Natural Language Processing. Cambridge University Press, pp. 139-146.

Digital Library

Google Scholar

[10]

Knight, K. and Hatzivassiloglou, V. 1995. Two-level, Many-Paths Generation. In Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics (ACL '95). Cambridge, MA., pp. 252- 260.

Digital Library

Google Scholar

[11]

Langkilde, I. and Knight, K. 1998. Generation that exploits corpus-based statistical knowledge. In Proceedings of the 36th Annual Meeting of the Association for Computational Linguisits and 17th International Conference on Computational Linguisitics (COLING-ACL 1998). Montreal, Canada, pp. 704- 710.

Digital Library

Google Scholar

[12]

Langkilde, I. and Knight, K. 1998b. The practical value of n-grams in generation. In Proceedings of the Ninth International Workshop on Natural Language Generation, pp. 248-255.

Google Scholar

[13]

Lavoie, B. and Rambow, O. 1997. A fast and portable realizer for text generation systems. In Proceedings of the Fifth Conference on Applied Natural Language Processing, Washington D.C., pp. 265-268.

Digital Library

Google Scholar

[14]

Mann, W.C. 1983. An overview of the Penman text generation system. In Proceedings of the Third National Conference on Artificial Intelligence (Washington, DC, August 22-26, 1983), pp. 261-265. Also appears as USC/Information Sciences Institute Tech Report RR-83-114.

Google Scholar

[15]

Mann, W.C. and Matthiessen, C. 1989. The PENMAN Primer. Information Science Institute, University of Southern California.

Google Scholar

[16]

Mann, W.C. and Thompson, S.A. 1988. Rhetorical structure theory: Toward a functional theory of text organization. In Text 8,3, pp. 243-281.

Crossref

Google Scholar

[17]

Matthiessen, C. 1984. Systemic grammar in computation: The NIGEL case. Technical Report ISI-RR-83- 121. USC Information Sciences Institute, Marina del Rey, CA.

Google Scholar

[18]

Matthiessen, C. 1988. What's in NIGEL: Lexicogrammatical cartography. Technical Report 1. USC Information Sciences Institute, Marina del Rey, CA.

Google Scholar

[19]

McKeown, K.R. 1982. The TEXT system for natural language generation: An overview. In Proceedings of the 20th Annual Meeting of the ACL (University of Toronto, Ontario, Canada, June 16-18, 1982), pp. 261-265.

Digital Library

Google Scholar

[20]

McKeown, K.R. 1985. Discourse strategies for generating natural-language text. Artificial Intelligence 27, 1, pp. 1-42.

Digital Library

Google Scholar

[21]

McRoy, S.W., Channarukul, S., and Ali, S.S. 2000. Text realization for dialog. In Proceedings of the International Conference on Intelligent Technologies (Bangkok).

Google Scholar

[22]

Meteer, M.W., McDonald, D.D., Anderson, S.D., Forster, D., Gay, L.S., Huettner, A.K., and Sibun, P. 1987. Mumble-86: Design and implementation. Technical Report COINS 87-87. Computer and Information Science, University of Massachusetts at Amherst.

Google Scholar

[23]

Paris, C.L. 1993. User Modelling in Text Generation. Communication in Artificial Intelligence. Pinter Publishers.

Digital Library

Google Scholar

[24]

Reiter, E. and Dale, R. 1997. Building applied natural language generation systems. Natural Language Engineering 3, 57-88.

Digital Library

Google Scholar

Cited By

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Pietro OFrontera G(2008)An integrated system for data backup and supervision of activities (with management of the natural language) in e-learning contextsInternational Journal of Web and Grid Services10.1504/IJWGS.2008.0214964:3(303-313)Online publication date: 1-Nov-2008
https://dl.acm.org/doi/10.1504/IJWGS.2008.021496

Index Terms

Creating natural language ouput for real-time applications
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources
      2. Natural language generation

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Published In

intelligence Volume 12, Issue 2

Summer 2001

50 pages

ISSN:1523-8822

EISSN:1557-9425

DOI:10.1145/378116

Editor:
Christopher Welty
Vassar College, Poughkeepsie, NY

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2001

Published in INTELLIGENCE Volume 12, Issue 2

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Pietro OFrontera G(2008)An integrated system for data backup and supervision of activities (with management of the natural language) in e-learning contextsInternational Journal of Web and Grid Services10.1504/IJWGS.2008.0214964:3(303-313)Online publication date: 1-Nov-2008
https://dl.acm.org/doi/10.1504/IJWGS.2008.021496

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Natural Language, Mixed-initiative Personal Assistant Agents

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Object-oriented real-time language design: constructs for timing constraints

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