Integrating discourse and domain knowledge for document drafting
ICAIL '99 Proceedings of the 7th international conference on Artificial intelligence and law
Summarizing scientific articles: experiments with relevance and rhetorical status
Computational Linguistics - Summarization
Argumentation in Explanations to Logical Problems
ICCS '01 Proceedings of the International Conference on Computational Sciences-Part I
Bayesian Artificial Intelligence
Bayesian Artificial Intelligence
Journal of Biomedical Informatics
An empirical study of the influence of argument conciseness on argument effectiveness
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Using argumentation strategies in automated argument generation
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Content ordering in the generation of persuasive discourse
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
A simple domain-independent probabilistic approach to generation
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Concept-to-text generation via discriminative reranking
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
A global model for concept-to-text generation
Journal of Artificial Intelligence Research
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This paper presents the design of a discourse generator that plans the content and organization of lay-oriented genetic counseling documents containing arguments, and an experiment to evaluate the arguments. Due to the separation of domain, argument, and genre-specific concerns and the methodology used for acquiring a domain model, this approach should be applicable to argument generation in other domains.