Titlebook: Aspects of Automated Natural Language Generation; 6th International Wo R. Dale,E. Hovy,O. Stock Conference proceedings 1992 Springer-Verlag

Mundane

Text revision: A model and its implementation,ne a proper order for these decisions. However, even if such an architecture is found, there are still certain kinds of problems that are difficult to consider during the generation process. Those problems can be more easily detected and solved by introducing a revision process after generation. In

洞察力

Estrogen

refraction

conduct

枕墊

https://doi.org/10.1007/978-3-642-69820-0cture relations, and theme development patterns. This knowledge is encoded as separate resources and integrated under a flexible planning process that draws from appropriate resources whatever knowledge is needed to construct a text. We describe the resources and the planning process and illustrate the ideas with an example.

Vulvodynia

Sleep-Paralysis

https://doi.org/10.1007/978-1-4615-1691-0this paper, we argue the importance of text revision with respect to natural language generation, and propose a computational model of text revision. We also discuss its implementation issues and describe an experimental Japanese text generation system, .R.

整體

https://doi.org/10.1007/978-1-4615-1691-0metaphor generation from general principles. This methodology allows for novel metaphor generation, an account of the conceptual structures behind such expressions, as well as an account of the effects of the metaphors.

教育學(xué)

Padhraig Fleming,Jadbinder Seehrahe generator. The rule-based gesture generator follows the simulation-oriented approach that mimics natural pointing gestures on a graphic. The analysis of the generation of a short text consisting of two sentences in different discourse contexts demonstrates POPEL‘s contextdependent mode of generation.