Intelligent handling of weather forecasts

Kerpedjiev, Stephan; Noncheva, Veska

doi:10.3115/991146.991225

Cited by 4 publications

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The development of the METEOVIS project began with the transformation of weather forecasts from text to map [5]. Then we studied the conversion of weather forecast texts into texts with another discourse structure or in another language [6]. This year, the system was redesigned so that multimodal weather products could be generated from dntasets [7].…”

Section: Introductionmentioning

confidence: 99%

Generation of informative texts with style

Kerpedjiev¹

1992

Proceedings of the 14th Conference on Computational Linguistics -

View full text Add to dashboard Cite

An approach to the computational treatment of style is presented in the case of generation of informative texts. We regard the style mestly as a me,as of controlled selection of alternatives faced at each level of text generation. The generation technique, as well as the style specification, are considered at four levels --content production, discourse generation, surface structure development, and lexicai choice. A style is specified by the frequency of occurrence of certain features examined through observation of particular texts. The algorithm for text generation ensures efficient treatment of the style requirements.

show abstract

Section: Introductionmentioning

confidence: 99%

Generation of informative texts with style

Kerpedjiev¹

1992

Proceedings of the 14th Conference on Computational Linguistics -

View full text Add to dashboard Cite

show abstract

Interactive Multilingual Generation

Coch

Chevreau

2001

Computational Linguistics and Intelligent Text Processing

View full text Add to dashboard Cite

Automatic generation of multimodal weather reports from datasets

Kerpedjiev

1992

Proceedings of the Third Conference on Applied Natural Language Processing -

View full text Add to dashboard Cite

Weather reports are created in various modes-natural language text, specialized language text, tables and maps. The system presented allows the user to define his needs of weather information and requirements on the form of presentation. The system analyzes a dataset obtained through specific procedures of forecasting or observation, plans the product according to the user requirements and generates its components. Special emphasis is placed on the coherence of the report by investigating the rhetorical structures observed in this kind of text and the coordination between a map and a text specifying it. The method of generation is a knowledge-based one with three types of knowledge employed in the system-terminological, rhetorical and grammatical. A prototype has been implemented and tested with original datasets.

show abstract

Intelligent handling of weather forecasts

Cited by 4 publications

References 2 publications

Generation of informative texts with style

Generation of informative texts with style

Interactive Multilingual Generation

Automatic generation of multimodal weather reports from datasets

Contact Info

Product

Resources

About