Pragmatics and natural language generation
Artificial Intelligence
Building natural language generation systems
Building natural language generation systems
Lessons from a failure: generating tailored smoking cessation letters
Artificial Intelligence
Planning text for advisory dialogues: capturing intentional and rhetorical information
Computational Linguistics
Model-driven eGovernment interoperability: A review of the state of the art
Computer Standards & Interfaces
Proceedings of the 9th ACM symposium on Document engineering
Phrasing a text in terms the user can understand
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Hypertableau reasoning for description logics
Journal of Artificial Intelligence Research
Discourse planning for information composition and delivery: A reusable platform
Natural Language Engineering
Expressing OWL axioms by English sentences: dubious in theory, feasible in practice
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Automatically generating citizen-focused brochures for public administration
Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times
An evaluation of tailored web materials for public administration
Proceedings of the 23rd ACM conference on Hypertext and social media
The pragmatic web: addressing complex communication in public administration using tailored delivery
Proceedings of the 31st ACM international conference on Design of communication
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Citizen-focused documents in Public Administration devote considerable effort to the expression of conditions. These conditions are commonly expressed as statements of eligibility requirements for the programs being described, but they manifest themselves in other places as well, such as in feedback to readers in tailored informational brochures and as input fields on program application forms. This paper discusses how administrative conditions can be represented in a manner that supports both the eligibility reasoning required for the generation of citizen-tailored documents and also the automated generation of condition expressions in a variety of forms. The paper pays particular attention to the question of how a generation mechanism can allow authors to override the default forms of automated expression when necessary. The discussion is based on a prototype tailored delivery application whose knowledge base is implemented in OWL DL and whose output is constructed using Myriad, a platform for tailored document planning and formatting.