What is NLG?

Proceedings of the International Natural Language Generation Conference, INLG 2002

Volumn , Issue , 2002, Pages

  Evans, Roger ^a   Piwek, Paul ^a   Cahill, Lynne ^a  

^a UNIVERSITY OF BRIGHTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

NATURAL LANGUAGE GENERATION; QUESTION ANSWERING SYSTEMS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 85119444714     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. L. Cahill and M. Reape. 1998. Component tasks in applied NLG systems. Technical Report ITRI-99-05, ITRI, University of Brighton.
2. L. Cahill, C. Doran, R. Evans, C. Mellish, D. Paiva, M. Reape, D. Scott, and N. Tipper. 1999. In Search of a Reference Architecture for NLG Systems. In Proceedings of the 7th European Workshop on Natural Language Generation, pages 77–85, Toulouse, France.
3. L. Cahill, R. Evans, C. Mellish, D. Paiva, M. Reape, and D. Scott. 2001a. The RAGS Reference Manual . ITRI, University of Brighton.
4. Lynne Cahill, John Carroll, Roger Evans, Daniel Paiva, Richard Power, Donia Scott, and Kees van Deemter. 2001b. From RAGS to RICHES: exploiting the potential of a flexible generation architecture. In Proceedings of ACL/EACL 2001, pages 98–105, Toulouse, France.
5. J. Coch. 1996. Overview of AlethGen. In Proceedings of the Eighth International Workshop on Natural Language Generation, pages 25–28, Herstmonceux, Sussex, UK.
6. C. DiMarco, G. Hirst, L. Wanner, and J. Wilkinson. 1995. Healthdoc: Customizing patient information and health education by medical condition and personal characteristics. In First International Workshop on Artificial Intelligence in Patient Education, Glasgow, UK.
7. X. Huang and A. Fiedler. 1997. Proof verbalization as an application of nlg. In Proceedings of the 16th International Joint Conference on Artificial Intelligence (IJCAI’97), Nagoya, Japan.
8. R. Kittredge and A. Polguére. 1991. Generating extended bilingual texts from application knowledge bases. In Proceedings on Fundamental Research for the Future Generation of Natural Language Processing, pages 147–160, Kyoto, Japan.
9. B. Lavoie, O. Rambow, and E. Reiter. 1996. The modelexplainer. In Proceedings of the Eighth International Workshop on Natural Language Generation, pages 9–12, Herstmonceux, Sussex, UK.
10. D. McDonald. 1993. Issues in the choice of a source for natural language generation. Computational Linguistics, 19(1):191–197.
11. K. McKeown, K. Kukich, and J. Shaw. 1994. Practical issues in automatic documentation generation. In Proceedings of the Fourth Conference on Applied Natural Language Processing, pages 7–14, Stuttgart, Germany.
12. D. Paiva. 1998. A survey of applied natural language generation systems. Technical Report ITRI-98-03, ITRI, University of Brighton.
13. R. Power, D. Scott, and R. Evans. 1998. What You See Is What You Meant: direct knowledge editing with natural language feedback. In Proceedings of the 13th Biennial European Conference on Artificial Intelligence (ECAI’98), Brighton, UK.
14. E. Reiter and R. Dale. 2000. Building Natural Language Generation Systems. Cambridge University Press, Cambridge, UK.
15. R. Winkels, A. Boer, J. Breuker, and D. Bosscher. 1998. Assessment Based Legal Information Serving and Cooperative Dialogue in CLIME. In Proceedings of JURIX-98, pages 131–146, GNI, Nijmegen, Netherlands.
16. R. Winkels, A. Boer, and R. Hoekstra. 2002. CLIME: Lessons Learned in Legal Information Serving. In F. van Harmelen, editor, ECAI-2002: Proceedings of the 15th European Conference on Artificial Intelligence, Amsterdam, NL. IOS Press.