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
Hypertableau reasoning for description logics
Journal of Artificial Intelligence Research
Discourse planning for information composition and delivery: A reusable platform
Natural Language Engineering
Methodological Review: Formal representation of eligibility criteria: A literature review
Journal of Biomedical Informatics
User-centric mobile services: context provisioning and user profiling
Proceedings of the 11th Annual International Digital Government Research Conference on Public Administration Online: Challenges and Opportunities
Expressing conditions in tailored brochures for public administration
Proceedings of the 11th ACM symposium on Document engineering
An evaluation of tailored web materials for public administration
Proceedings of the 23rd ACM conference on Hypertext and social media
Government to citizen communications: from generic to tailored documents in public administration
Information Polity - Special issue on Open Government and Public Participation: Issues and Challenges in Creating Public Value
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This paper describes a collaborative effort to develop tailored informational brochures describing the programs offered by a public administration agency to the public it serves. The goal is to better communicate with the public by moving from brochures written for generic audiences, which must include careful discussions of the conditions distinguishing the various constituencies within the generic audience, to brochures written for individuals, which can be personalised to focus on the information relevant to one reader. This paper presents a scoping study that identified key requirements for the effort and a prototype application developed in response to the study. The paper pays particular attention to the forms of document tailoring appropriate in the eGovernment domain and on the information that must be represented to support this tailoring.