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.

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Abstract

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
Depositing User: Converis
Date Deposited: 14 Nov 2007
Last Modified: 21 May 2014 11:01
URI: http://eprints.brighton.ac.uk/id/eprint/3097

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