A fast algorithm for the generation of referring expressions
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 1
Referring expression generation through attribute-based heuristics
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Evolutionary and case-based approaches to REG: NIL-UCM-EvoTAP, NIL-UCM-ValuesCBR and NIL-UCM-EvoCBR
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Does size matter: how much data is required to train a REG algorithm?
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
UCM submission to the surface realization challenge
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
Learning preferences for referring expression generation: effects of domain, language and algorithm
INLG '12 Proceedings of the Seventh International Natural Language Generation Conference
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The NIL entry for the challenge has been constructed upon the general architecture for developing Natural Language Generation systems provided by the TAP project (Gervás, 2007). TAP (Text Arranging Pipeline) is a set of interfaces that define generic functionality for a pipeline of tasks oriented toward natural language generation, from an initial conceptual input to surface realization as a string, with intervening stages of content planning and sentence planning.