Instructional text, because it is a useful and relatively constrained sub-Ianguage, has been a popular target for research-oriented generation systems. This work has demonstrated that existing technology is adequate for generating draft instructions; the problem, as is typical of generation work in general, has been with the acquisition of domain and lexicogrammatical knowledge. This acquisition task is a formidable barrier to the practical use of generation
technology. The Isolde project attempts to address this problem by extracting
parts of the required knowledge from existing models and by building tools to
tailor what is extracted into a form suitable for generation