Systemic Text Generation As Problem Solving
/ by Terry Patten
- Cambridge Cambridge University Press 2007
- XII, 214 p 23 cm
- Studies in Natural Language Processing .
Includes index
This study explores an approach to text generation that interprets systemic grammar as a computational representation. Terry Patten demonstrates that systemic grammar can be easily and automatically translated into current AI knowledge representations and efficiently processed by the same knowledge-based techniques currently exploited by expert systems.