Selecting tense, aspect, and connecting words in language generation

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Description

Generating language that reflects the temporal organization of represented knowledge requires a language generation model that integrates contemporary theories of tense and aspect, temporal representations, and methods to plan text. This paper presents a model that produces complex sentences that reflect temporal relations present in underlying temporal concepts. The main result of this work is the successful application of constrained linguistic theories of tense and aspect to a generator which produces meaningful event combinations and selects appropriate connecting words that relate them.

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13 p.

Creation Information

Gaasterland, T. & Dorr, B. December 31, 1995.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 15 times . More information about this article can be viewed below.

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  • Gaasterland, T. Argonne National Lab., IL (United States). Mathematics and Computer Science Div.
  • Dorr, B. Univ. of Maryland, College Park, MD (United States). Dept. of Computer Science

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Description

Generating language that reflects the temporal organization of represented knowledge requires a language generation model that integrates contemporary theories of tense and aspect, temporal representations, and methods to plan text. This paper presents a model that produces complex sentences that reflect temporal relations present in underlying temporal concepts. The main result of this work is the successful application of constrained linguistic theories of tense and aspect to a generator which produces meaningful event combinations and selects appropriate connecting words that relate them.

Physical Description

13 p.

Notes

OSTI as DE96012703

Source

  • 14. international joint conference on artificial intelligence, Montreal (Canada), 20-25 Aug 1995

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  • Other: DE96012703
  • Report No.: ANL/MCS-P--574-0296
  • Report No.: CONF-950834--4
  • Grant Number: W-31109-ENG-38
  • Office of Scientific & Technical Information Report Number: 270804
  • Archival Resource Key: ark:/67531/metadc665556

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Office of Scientific & Technical Information Technical Reports

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  • December 31, 1995

Added to The UNT Digital Library

  • June 29, 2015, 9:42 p.m.

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  • June 27, 2016, 1:15 p.m.

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Gaasterland, T. & Dorr, B. Selecting tense, aspect, and connecting words in language generation, article, December 31, 1995; Illinois. (digital.library.unt.edu/ark:/67531/metadc665556/: accessed June 20, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.