Discourse strategies for generating natural-language text
Artificial Intelligence
Principles of artificial intelligence
Principles of artificial intelligence
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 explanatory discourse
Current research in natural language generation
Generating causal explanations: from qualitative models to natural language texts
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
Proceedings of the 6th International Workshop on Natural Language Generation: Aspects of Automated Natural Language Generation
Computer generation of multiparagraph English text
Computational Linguistics
Using plausible inference rules in description planning
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
Exploiting conversational implicature for generating concise explanations
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
Planning coherent multisentential text
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
A reactive approach to explanation
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
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In recent times, there has been an increase in the number of Natural Language Generation systems that take into consideration a user's inferences. The statements generated by these systems are typically connected by inferential links, which are opportunistic in nature. In this paper, we describe a discourse structuring mechanism which organizes inferentially linked statements as well as statements connected by certain prescriptive links. Our mechanism first extracts relations and constraints from the output of a discourse planner. It then uses this information to build a directed graph whose nodes are rhetorical devices, and whose links are the relations between these devices. The mechanism then applies a search procedure to optimize the traversal through the graph. This process generates an ordered set of linear discourse sequences, where the elements of each sequence are maximally connected. Our mechanism has been implemented as the discourse organization component of a system called WISHFUL which generates concept explanations.