Attention, intentions, and the structure of discourse
Computational Linguistics
Analyzing the structure of argumentative discourse
Computational Linguistics
Automated discourse generation using discourse structure relations
Artificial Intelligence - Special volume on natural language processing
The effect of resource limits and task complexity on collaborative planning in dialogue
Artificial Intelligence - Special volume on empirical methods
An Architecture fro Argumentative Dialogue Planning
FAPR '96 Proceedings of the International Conference on Formal and Applied Practical Reasoning
Multiple Subarguments in Logic, Argumentation, Rhetoric and Text Generation
ECSQARU/FAPR '97 Proceedings of the First International Joint Conference on Qualitative and Quantitative Practical Reasoning
Planning text for advisory dialogues: capturing intentional and rhetorical information
Computational Linguistics
Generating coherent argumentative paragraphs
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Content ordering in the generation of persuasive discourse
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Building up rhetorical structure trees
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Computational Models of Natural Language Argument
ICCS '01 Proceedings of the International Conference on Computational Sciences-Part I
International Journal of Human-Computer Studies
A TAXONOMY OF STRATEGIES FOR MULTIMODAL PERSUASIVE MESSAGE GENERATION
Applied Artificial Intelligence
A Framework to Extract Arguments in Opinion Texts
International Journal of Cognitive Informatics and Natural Intelligence
A Framework to Extract Arguments in Opinion Texts
International Journal of Cognitive Informatics and Natural Intelligence
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This paper demonstrates that generating arguments in natural language requires planning at an abstract level, and that the appropriate abstraction cannot be captured by approaches based solely upon coherence relations. An abstraction based planning system is presented which employs operators motivated by empirical study and rhetorical maxims. These operators include a subset of traditional deductive rules of inference, argumentation theoretic rules of refutation, and inductive reasoning patterns. The paper presents a unified system in which the various argument forms are employed in generating rich, complex structures for persuasive text.