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.
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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.
|Item Type:||Contribution to conference proceedings in the public domain ( Full Paper)|
|Additional Information:||Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License . Permission is granted to make copies for the purposes of teaching and research.|
|Subjects:||G000 Computing and Mathematical Sciences > G400 Computing
Q000 Languages and Literature - Linguistics and related subjects > Q100 Linguistics
|Faculties:||Faculty of Science and Engineering > School of Computing, Engineering and Mathematics > Natural Language Technology|
|Date Deposited:||14 Nov 2007|
|Last Modified:||21 May 2014 11:01|
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