STOP

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[edit] Summary

Description

The STOP (Smoking Termination with cOmputerised Personalisation) system generates personalized smoking-cessation letters. The aims of the project are:

  • To develop a computer system for generating tailored letters to help people stop smoking
  • To research knowledge acquisition (KA) techniques to acquire text-planning and sentence-planning rules from domain experts
  • To evaluate the clinical effectiveness of the computer generated letters in a general practice setting
  • To evaluate the cost effectiveness of this brief smoking cessation intervention

The system evaluation has now been completed.

An online demo of the system can be reached here.

References

  1. Reiter, E., Robertson, R., & Osman, L. (2003). Lessons from a Failure: Generating Tailored Smoking Cessation Letters. Artificial Intelligence, 144, 41. Bib
  2. Lennox, S., Osman, L., Reiter, E., Robertson, R., Friend, J., & McCann, I., et al. (2001). The Cost-Effectiveness of Computer-Tailored and Non-Tailored Smoking Cessation Letters in General Practice: A Randomised Controlled Study. British Medical Journal, 322, 1396. Bib
  3. Reiter, E., Cawsey, A., Osman, L., & Roff, Y. (1997). Knowledge Acquisition for Content Selection. Paper presented at 6th European Workshop on Natural Language Generation. Bib
  4. Reiter, E., Robertson, R., & Osman, L. 1999. Types of knowledge required to personalise smoking cessation letters. Bib
  5. Reiter, E. (2000). Pipelines and Size Constraints. Computational Linguistics, 26(2), 251. Bib
  6. Reiter, E., Robertson, R., & Osman, L. (2000). Knowledge Acquisition for Natural Language Generation. Paper presented at Proceedings of the First International Conference on Natural Language Generation. Bib
  7. Reiter, E., Robertson, R., Lennox, S., & Osman, L. (2001). Using a Randomised Controlled Clinical Trial to Evaluate an NLG System. Paper presented at Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics (ACL-2001). Bib
  8. Reiter, E., Cawsey, A., Osman, L., & Roff, Y. (1997). Knowledge Acquisition for Content Selection. Paper presented at Proceedings of the 6th European Workshop on Natural Language Generation EWNLG'97, Duisburg, Germany. Bib
  9. Reiter, E., & Osman, L. (1997). Tailored patient information: some issues and questions. Paper presented at Proceedings of ACL/EACL97 Workshop: “From research to commercial applications: making NLP technology work in practice”. Bib
Facts about STOPRDF feed
DescriptionGenerates personalized smoking-cessation letters  +
Domainmedical  +, and smoking cessation  +
Ended2001  +
LanguageEnglish  +
NameSTOP  +
Started1997  +
URLhttp://www.csd.abdn.ac.uk/research/stop  +
WorkerReiter  +, Robertson  +, Osman  +, and Lennox  +
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