Attention, intentions, and the structure of discourse
Computational Linguistics
Getting the message across in RST-based text generation
Current research in natural language generation
Centering: a framework for modeling the local coherence of discourse
Computational Linguistics
Toward a synthesis of two accounts of discourse structure
Computational Linguistics
Expressibility and the Problem of Efficient Text Planning
Expressibility and the Problem of Efficient Text Planning
Embedding new information into referring expressions
ACL '98 Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 2
A centering approach to pronouns
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
From local to global coherence: a bottom-up approach to text planning
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Corpus-based NP modifier generation
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
An integrated framework for text planning and pronominalisation
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Aggregation via set partitioning for natural language generation
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Evolving questions in text planning
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
Plot induction and evolutionary search for story generation
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
The prevalence of descriptive referring expressions in news and narrative
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Generating natural language descriptions from OWL ontologies: the natural OWL system
Journal of Artificial Intelligence Research
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In natural language generation, different generation tasks often interact with each other in a complex way. We think that how to resolve the complex interactions inside and between tasks is more important to the generation of a coherent text than how to model each individual factor. This paper focuses on the interaction between aggregation and text planning, and tries to explore what preferences exist among the features considered by the two tasks. The preferences are implemented in two generation systems, namely ILEX-TS and a text planner using a Genetic Algorithm. The evaluation emphasises the second implementation and shows that capturing these preferences properly can lead to coherent text.