Paper: A Representation For Complex And Evolving Data Dependencies In Generation

ACL ID A00-1017
Title A Representation For Complex And Evolving Data Dependencies In Generation
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2000
Authors

This paper introduces an approach to represent- ing the kinds of information that components in a natural language generation (NLG) sys- tem will need to communicate to one another. This information may be partial, may involve more than one level of analysis and may need to include information about the history of a derivation. We present a general representation scheme capable of handling these cases. In ad- dition, we make a proposal for organising inter- module communication in an NLG system by having a central server for this information. We have validated the approach by a reanalysis of an existing NLG system and through a full im- plementation of a runnable specification.