STOP

From NLG Systems Wiki

[edit] Summary

• System Name: STOP
• Short Description: Generates personalized smoking-cessation letters
• URL: http://www.csd.abdn.ac.uk/research/stop
• System Builders: Reiter, Robertson, Osman, Lennox^{[1][2][3][4][5][6][7][8][9]}
• Development Period: 1997–2001
• Languages: English
• Domains: medical, smoking cessation

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