1994
DOI: 10.1109/64.294135
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Using natural-language processing to produce weather forecasts

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Cited by 197 publications
(154 citation statements)
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“…Data-to-text systems have been developed in many areas, including weather forecasting [16][17][18][19][20], communicating financial and statistical information [21][22][23], and engineering [24]. Most previous data-to-text systems generated summaries of relatively Ano the r ABG was t aken at around 23:00 .…”
Section: Data-to-textmentioning
confidence: 99%
“…Data-to-text systems have been developed in many areas, including weather forecasting [16][17][18][19][20], communicating financial and statistical information [21][22][23], and engineering [24]. Most previous data-to-text systems generated summaries of relatively Ano the r ABG was t aken at around 23:00 .…”
Section: Data-to-textmentioning
confidence: 99%
“…One of the earliest such systems, FoG [28], produced bilingual (English/French) texts, aiming to reduce some of the most routine tasks that human forecasters had to carry out by automatically generating forecasts from data that had previously been manipulated by human users through a graphical user interface. A different kind of interactive approach was taken in MULTIMETEO [14], another multilingual generator, which generated forecasts based on structured input data, and also provided the user with an interface which enabled editing of the automatically produced output.…”
Section: Data-to-text Systemsmentioning
confidence: 99%
“…For these languages, we resort to rulebased language generation. These systems are timeconsuming and require significant human effort, but a lot of research work has been done in this area such as the FoG system (Goldberg et al, 1994), the SumTime system (Reiter et al, 2005) and the PLAN-DOC system (McKeown et al, 1994).…”
Section: Previous Workmentioning
confidence: 99%