Abstract
This article challenges the received wisdom that template-based approaches to the generation of language are necessarily inferior to other approaches as regards their maintainability, linguistic well-foundedness, and quality of output. Some recent NLG systems that call themselves ''template-based'' will illustrate our claims.
- Becker, Tilman. 2002. Practical, template-based natural language generation with TAG. In Proceedings of TAG+6, Venice.Google Scholar
- Becker, Tilman and Stephan Busemann, editors. 1999. "May I Speak Freely?" Between Templates and Free Choice in Natural Language Generation: KI-99 Workshop. DFKI, Saarbrücken, Germany.Google Scholar
- Busemann, Stephan and Helmut Horacek. 1998. A flexible shallow approach to text generation. In Proceedings of the Ninth International Workshop on Natural Language Generation, pages 238-247: Niagara-on-the-Lake, Ontario, Canada.Google Scholar
- Cahill, Lynn, Christy Doran, Roger Evans, Chris Mellish, Daniel Paiva, Mike Reape, and Donia Scott. 1999. In search of a reference architecture for NLG systems. In Proceedings of the Seventh European Workshop on Natural Language Generation, pages 77-85: Toulouse, France.Google Scholar
- Dale, Robert and Ehud Reiter. 1995. Computational interpretations of the Gricean maxims in the generation of referring expressions.Cognitive Science, 18:233-263.Google Scholar
- Galley, Michel, Eric Fosler-Lussier, and Alexandros Potamianos. 2001. Hybrid natural language generation for spoken dialogue systems. In Proceedings of the Seventh European Conference on Speech Communication and Technology. Aalborg, Denmark.Google Scholar
- Geldof, Sabine and Walter van de Velde. 1997. An architecture for template based (hyper)text generation. In Proceedings of the Sixth European Workshop on Natural Language Generation, pages 28-37, Duisburg, Germany.Google Scholar
- Joshi, Aravind. 1987. The relevance of tree adjoining grammar to generation. In Gerard Kempen, editor. Natural Language Generation, Martinus Nijhoff, Leiden, The Netherlands, pages 233-252.Google Scholar
- Kittredge, Richard, Eli Goldberg, Myunghee Kim, and Alain Polgueère. 1994. Sublanguage engineering in the FOG system. In Fourth Conference on Applied Natural Language Processing, pages 215-216, Stuttgart, Germany. Google Scholar
- Krahmer, Emiel and Mariët Theune. 2002. Efficient context-sensitive generation of descriptions in context. In Kees van Deemter and Rodger Kibble, editors, Information Sharing. CSLI Publications, Stanford, CA, pages 223-264.Google Scholar
- Langkilde, Irene and Kevin Knight. 1998. Generation that exploits corpus-based statistical knowledge. In Proceedings of the ACL, pages 704-710, Montreal, Quebec, Canada. Google Scholar
- McRoy, Susan W., Songsak Channarukul, and Syed S. Ali. 2003. An augmented template-based approach to text realization. Natural Language Engineering, 9(4):381-420. Google Scholar
- Mellish, Chris. 2000. Understanding shortcuts in NLG systems. In Proceedings of Impacts in Natural Language Generation: NLG between Technology and Applications, pages 43-50, Dagstuhl, Germany.Google Scholar
- Piwek, Paul. 2003. A flexible pragmatics-driven language generator for animated agents. In Proceedings of EACL03 (Research Notes), pages 151-154, Budapest, Hungary. Google Scholar
- Reiter, Ehud. 1995. NLG vs. templates. In Proceedings of the Fifth European Workshop on Natural Language Generation, pages 95-105, Leiden, The Netherlands.Google Scholar
- Reiter, Ehud and Robert Dale. 1997. Building applied natural language generation systems. Natural Language Engineering, 3(1):57-87. Google Scholar
- Reiter, Ehud and Robert Dale. 2000. Building Natural Language Generation Systems. Cambridge University Press, Cambridge. Google Scholar
- Stenzhorn, Holger. 2002. A natural language generation system using XML- and Java-technologies. In Proceedings of the Second Workshop on NLP and XML, Taipei, Taiwan. Google Scholar
- Theune, Mariët, Esther Klabbers, Jan-Roelof de Pijper, Emiel Krahmer, and Jan Odijk. 2001. From data to speech: A general approach. Natural Language Engineering, 7(1):47-86. Google Scholar
- van Deemter, Kees and Jan Odijk. 1997. Context modelling and the generation of spoken discourse. Speech Communication, 21(1/2):101-121. Google Scholar
- Walker, Marilyn, Owen Rambow, and Monica Rogati. 2002. Training a sentence planner for spoken dialogue using boosting. Computer Speech and Language, 16:409-433.Google Scholar
- White, Michael and Ted Caldwell. 1998. EXEMPLARS: A practical, extensible framework for dynamic text generation. In Proceedings of the Ninth International Workshop on Natural Language Generation, pages 266-275, Niagara-on-the-Lake, Ontario, Canada.Google Scholar
Index Terms
- Real versus Template-Based Natural Language Generation: A False Opposition?
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