Probabilistic generation of weather forecast texts
BELZ, ANJA (2007) Probabilistic generation of weather forecast texts In: Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, April 22-27, 2007, Rochester, New York, USA.
Official URL: http://www.aclweb.org/anthology-new/N/N07/N07-1021...
This paper reports experiments in which pC RU — a generation framework that combines probabilistic generation methodology with a comprehensive model of the generation space — is used to semi-automatically create several versions of a weather forecast text generator. The generators are evaluated in terms of output quality, development time and computational efficiency against (i) human forecasters, (ii) a traditional handcrafted pipelined NLG system, and (iii) a HALOGEN-style statistical generator. The most striking result is that despite acquiring all decision-making abilities automatically, the best pC RU generators receive higher scores from human judges than forecasts written by experts.
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