Attention, intentions, and the structure of discourse
Computational Linguistics
The use of explicit user models in text generation: tailoring to a user's level of expertise
The use of explicit user models in text generation: tailoring to a user's level of expertise
Correcting object-related misconceptions (natural language)
Correcting object-related misconceptions (natural language)
Presenting Mathematical Concepts as an Example for Inference-Rich Domains
NLDB '00 Proceedings of the 5th International Conference on Applications of Natural Language to Information Systems-Revised Papers
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Sentence ordering in multidocument summarization
HLT '01 Proceedings of the first international conference on Human language technology research
Inferring strategies for sentence ordering in multidocument news summarization
Journal of Artificial Intelligence Research
Content selection and organization as a process involving compromises
INLG '94 Proceedings of the Seventh International Workshop on Natural Language Generation
From local to global coherence: a bottom-up approach to text planning
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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This paper analyzes the structural features of naturally-occurring extended explanations and argues that current generation methodologies are inadequate for determining high-level structure. It presents a computational model based on the hypothesis that high-level structure - composed of a unifying framework and its associated basic blocks - can be determined by bottom-up processes that attempt to satisfy speaker, listener, and compositional goals, after which top-down strategies can be used to organize the material about the selected framework.