Getting the message across in RST-based text generation
Current research in natural language generation
Automated discourse generation using discourse structure relations
Artificial Intelligence - Special volume on natural language processing
Centering: a framework for modeling the local coherence of discourse
Computational Linguistics
Revision-based generation of natural language summaries providing historical background: corpus-based analysis, design, implementation and evaluation
Handbook of formal languages, vol. 3
Planning English Sentences
Computational Linguistics
Clause aggregation: an approach to generating concise text
Clause aggregation: an approach to generating concise text
The syntax-discourse interface: effects of the main-subordinate distinction on attention structure
The syntax-discourse interface: effects of the main-subordinate distinction on attention structure
Two types of planning in language generation
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Integrating discourse markers into a pipelined natural language generation architecture
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Optimizing Referential Coherence in Text Generation
Computational Linguistics
Anaphora and Discourse Structure
Computational Linguistics
Dynamically improving explanations: a revision-based approach to explanation generation
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
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This paper presents an argument against modularizing linguistic information in natural language generation systems. We argue that complex linguistic constructions require grammatical information to be located in the same module, in order to avoid over-complicating the system architecture. We demonstrate this point by showing how parenthetical constructions --- which have only been generated in previous systems using an aggregation or revision module --- can be generated by a surface realizer when using an integrated grammar.