Using Grice's maxim of quantity to select the content of plan descriptions
Artificial Intelligence
Building natural language generation systems
Building natural language generation systems
ILEX: an architecture for a dynamic hypertext generation system
Natural Language Engineering
Can text structure be incompatible with rhetorical structure?
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Effects of structure and interaction style on distinct search tasks
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Natural language directed inference from ontologies
Artificial Intelligence
The CIDOC conceptual reference model: a new standard for knowledge sharing
ER '07 Tutorials, posters, panels and industrial contributions at the 26th international conference on Conceptual modeling - Volume 83
Has a consensus NL generation architecture appeared, and is it psycholinguistically plausible?
INLG '94 Proceedings of the Seventh International Workshop on Natural Language Generation
Generating tailored textual summaries from ontologies
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
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One question that arises if we want to evolve generation techniques to accommodate Web ontologies is how to capture and expose the relevant ontology content to the user. This paper presents an attempt to answer the question about how to select the ontology statements that are significant for the user and present those statements in a way that helps the user to learn. Our generation approach combines bottom-up and top-down techniques with enhanced comparison methods to tailor descriptions about a concept described in an ontology. A preliminary evaluation indicates that the process of computing preferable property weights in addition to enhanced generation methods has a positive effect on the text structure and its content. Future work aims to assign grammar rules and lexical entries in order to produce coherent texts that follow on from the generated text structures in several languages.