System Name |
STOP
|
|
System Builders | Reiter, Robertson, Osman, Lennox
|
|
Development Dates | 1997-2001 | |
Languages | English | |
URL (if available) | http://www.csd.abdn.ac.uk/research/stop |
The STOP (Smoking Termination with cOmputerised Personalisation) system generates personalized smoking-cessation letters. The aims of the project are:
An online demo of the system can be reached here. |
Scott Lennox, Liesl Osman, Ehud Reiter, Roma Robertson, James Friend, Ian McCann, Diane Skatun, and Peter Donnan.
The Cost-Effectiveness of Computer-Tailored and Non-Tailored Smoking Cessation Letters in General Practice: A Randomised Controlled Study.
British Medical Journal, 322:1396--1400, 2001.linkhttp://bmj.com/cgi/content/full/322/7299/1396
E. Reiter, R. Robertson, and L. Osman.
Lessons from a Failure: Generating Tailored Smoking Cessation Letters.
Artificial Intelligence, 144:41--58, 2003.linkhttp://www.csd.abdn.ac.uk/~ereiter/papers/aij03.pdf
E. Reiter, A. Cawsey, L. Osman, and Y. Roff. E. Reiter, A. Cawsey, L. Osman, and Y. Roff. Ehud Reiter, Roma Robertson, and Liesl Osman. Ehud Reiter, Roma Robertson, Scott Lennox, and Liesl Osman. Ehud Reiter. Ehud Reiter, Roma Robertson, and Liesl Osman. E. Reiter and L. Osman.
Information last updated: 05.09.2001 (dd.mm.yy)
Knowledge Acquisition for Content Selection.
In W. Hoeppner, editor, 6th European Workshop on Natural Language Generation, pages 117--126, 1997.
Knowledge Acquisition for Content Selection.
In W. Hoeppner, editor, Proceedings of the 6th European Workshop on Natural Language Generation EWNLG'97, pages 117--126, Duisburg, Germany, 1997.link
Types of knowledge required to personalise smoking cessation letters.
In Werner Horn, editor, Artifical Intelligence and Medicine: Proceedings of AIMDM-1999, pages 398--399. Springer, Berlin, New York, 1999.link
Using a Randomised Controlled Clinical Trial to Evaluate an NLG System.
In Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics (ACL-2001), pages 434--441, 2001.link
Pipelines and Size Constraints.
Computational Linguistics, 26(2):251--259, 2000.linkhttp://www.csd.abdn.ac.uk/~ereiter/papers/cl00.pdf
Knowledge Acquisition for Natural Language Generation.
In Proceedings of the First International Conference on Natural Language Generation, pages 217--224, 2000.link
Tailored patient information: some issues and questions.
In Proceedings of ACL/EACL97 Workshop: ``From research to commercial applications: making NLP technology work in practice'', pages 29--34. Association for Computational Linguistics, 1997.link
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