Generating natural language text in response to questions about database structure
Generating natural language text in response to questions about database structure
TINLAP '75 Proceedings of the 1975 workshop on Theoretical issues in natural language processing
Design of a knowledge-based report generator
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
The SEMSYN generation system: ingredients, applications, prospects
ANLC '88 Proceedings of the second conference on Applied natural language processing
Sublanguage engineering in the FoG system
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
Bilingual generation of weather forecasts in an operations environment
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
Deep comprehension, generation and translation of weather forecasts (weathra)
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Bilingual generation of weather forecasts in an operations environment
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 1
The Long-Term Forecast for Weather Bulletin Translation
Machine Translation
A presentation model for multimedia summaries of behavior
Proceedings of the 13th international conference on Intelligent user interfaces
A knowledge-based approach for automatic generation of summaries of behavior
AIMSA'06 Proceedings of the 12th international conference on Artificial Intelligence: methodology, Systems, and Applications
Generating adaptive presentations of hydrologic behavior
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Contextifier: automatic generation of annotated stock visualizations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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This paper describes a system (RAREAS) which synthesizes marine weather forecasts directly from formatted weather data. Such synthesis appears feasible in certain natural sublanguages with stereotyped text structure. RAREAS draws on several kinds of linguistic and non-linguistic knowledge and mirrors a forecaster's apparent tendency to ascribe less precise temporal adverbs to more remote meterological events. The approach can easily be adapted to synthesize bilingual or multi-lingual texts.