Selecting tense, aspect, and connecting words in language generation

Conference · Sat Dec 30 23:00:00 EST 1995

OSTI ID:270804

Gaasterland, T ^[1]; Dorr, B ^[2]

---

1. Argonne National Lab., IL (United States). Mathematics and Computer Science Div.
2. Univ. of Maryland, College Park, MD (United States). Dept. of Computer Science

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.

• Research Organization: Argonne National Lab., IL (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States); National Science Foundation, Washington, DC (United States); Defense Advanced Research Projects Agency, Arlington, VA (United States); Air-Conditioning and Refrigeration Inst., Arlington, VA (United States)
• DOE Contract Number: W-31109-ENG-38
• OSTI ID: 270804
• Report Number(s): ANL/MCS-P--574-0296; CONF-950834--4; ON: DE96012703; CNN: NSF Grant IRI-9120788; NYI Grant IRI-9357731; DARPA Grant N00014-92-J-1929; ARO Contract DAAL03-91-C-0034; ARI Contract MDA-903-92-R-0035
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
ALGORITHMS
ARTIFICIAL INTELLIGENCE
DATA BASE MANAGEMENT
INFORMATION SYSTEMS
MACHINE TRANSLATIONS
MAN-MACHINE SYSTEMS
MAPPING
MATHEMATICAL MODELS
NATURAL LANGUAGE
PROGRAMMING
TIME DEPENDENCE