Text generation: using discourse strategies and focus constraints to generate natural language text
Text generation: using discourse strategies and focus constraints to generate natural language text
Tailoring object descriptions to a user's level of expertise
Computational Linguistics - Special issue on user modeling
A predictive approach for the generation of rhetorical devices
Computational Intelligence
Generating descriptions that exploit a user's domain knowledge
Current research in natural language generation
A reactive approach to explanation in expert and advice-giving systems
A reactive approach to explanation in expert and advice-giving systems
Generating explanatory discourse: a plan-based, interactive approach
Generating explanatory discourse: a plan-based, interactive approach
Conveying implicit content in narrative summaries
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
An optimizing method for structuring inferentially linked discourse
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
| Hi-index | 0.00 |
Current approaches to generating multi-sentence text fail to consider what the user may infer from the different statements in a description. This paper presents a system which contains an explicit model of the inferences that people may make from different statement types, and uses this model, together with assumptions about the user's prior knowledge, to pick the most appropriate sequence of utterances for achieving a given communicative goal.