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Mixing representation levels: The hybrid approach to automatic text generation

1999/07/16 by Emanuele Pianta, Lucia M. Tovena
Computer Science · #cs.CL #cs.AI

paper · pdf

published as Proceedings of the AISB'99 Workshop on ``Reference Architectures and Data Standards for NLP'', Edinburgh Scotland, April 1999, 8-13 · 6 pages

arxiv created 1999/07/16 · arxiv updated 2009/11/30

Abstract

Natural language generation systems (NLG) map non-linguistic representations into strings of words through a number of steps using intermediate representations of various levels of abstraction. Template based systems, by contrast, tend to use only one representation level, i.e. fixed strings, which are combined, possibly in a sophisticated way, to generate the final text. In some circumstances, it may be profitable to combine NLG and template based techniques. The issue of combining generation techniques can be seen in more abstract terms as the issue of mixing levels of representation of different degrees of linguistic abstraction. This paper aims at defining a reference architecture for systems using mixed representations. We argue that mixed representations can be used without abandoning a linguistically grounded approach to language generation.

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