Albert Gatt
Ehud Reiter
ABSTRACT
This paper describes SimpleNLG, a realisation engine for English which aims to provide simple and robust interfaces to generate syntactic structures and linearise them. The library is also flexible in allowing the use of mixed (canned and non-canned) representations.
- J. A. Bateman. 1997. Enabling technology for multilingual natural language generation: the KPML development environment. Natural Language Engineering, 3(1):15--55. Google Scholar
Digital Library
- J. Coch. 1996. Overview of AlethGen. In Proceedings of the 8th International Natural Language Generation Workshop.Google Scholar
- M. Elhadad and J. Robin. 1996. An overview of SURGE: A reusable comprehensive syntactic realization component. In Proceedings of the 8th International Natural Language Generation Workshop.Google Scholar
- I. Langkilde. 2000. Forest-based statistical language generation. In Proceedings of the 1st Meeting of the North American Chapter of the Association for Computational Linguistics. Google ScholarDigital Library
- B. Lavoie and O. Rambow. 1997. A fast and portable realizer for text generation systems. In Proceedings of the 5th Conference on Applied Natural Language Processing. Google ScholarDigital Library
- S. W. McRoy, S. Channarukul, and S. Ali. 2000. YAG: A template-based generator for real-time systems. In Proceedings of the 1st International Conference on Natural Language Generation. Google ScholarDigital Library
- G. Minnen, J. J. Carroll, and D. Pearce. 2001. Applied morphological processing of English. Natural Language Engineering, 7(3):207--223. Google ScholarDigital Library
- F. Portet, E. Reiter, A. Gatt, J. Hunter, S. Sripada, Y. Freer, and C. Sykes. to appear. Automatic generation of textual summaries from neonatal intensive care data. Artificial Intelligence. Google ScholarDigital Library
- E. Reiter and R. Dale. 2000. Building Natural Language Generation Systems. Cambridge University Press, Cambridge, UK. Google ScholarDigital Library
- E. Reiter, S. Sripada, J. Hunter, J. Yu, and I. Davy. 2005. Choosing words in computer-generated weather forecasts. Artificial Intelligence, 167:137--169. Google ScholarDigital Library
- E. Reiter. 2007. An architecture for Data-to-Text systems. In Proceedings of the 11th European Workshop on Natural Language Generation. Google ScholarDigital Library
- M. White. 2006. Chart realization from disjunctive inputs. In Proceedings of the 4th International Conference on Natural Language Generation. Google ScholarDigital Library
- SimpleNLG: a realisation engine for practical applications
Recommendations
Adapting SimpleNLG to German
ENLG '11: Proceedings of the 13th European Workshop on Natural Language GenerationThis paper describes SimpleNLG for German, a surface realisation engine for German based on SimpleNLG (Gatt and Reiter, 2009). Several features of the syntax of German and their implementation within the current framework are discussed, with a special ...
Automatic Natural Language Generation Applied to Alternative and Augmentative Communication for Online Video Content Services using SimpleNLG for Spanish
W4A '18: Proceedings of the 15th International Web for All ConferenceWe present our work to build the Spanish version of SimpleNLG by adapting it and creating new code to satisfy the Spanish linguistic requirements. Not only have we developed this version but also we have achieved a library that only needs the main words ...
Revisiting Petri Net Modeling of the Cigarette Smokers' Problem: A GPenSIM Approach
EMS '13: Proceedings of the 2013 European Modelling SymposiumPetri Nets is a family of modeling formalisms, with different interpretations and abstraction levels; the Petri nets family of modeling formalisms includes ordinary Petri Net, generalized Petri Net, and also all other extensions e.g. Colored Petri Net, ...
Comments