Pragmatics and natural language generation
Artificial Intelligence
Generating explanatory discourse
Current research in natural language generation
Generating descriptions that exploit a user's domain knowledge
Current research in natural language generation
Exploiting conversational implicature for generating concise explanations
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
Cooking up referring expressions
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
The generation of high-level structure for extended explanations
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
A reactive approach to explanation
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Phrasing a text in terms the user can understand
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
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Understanding a fairly complex message may demand an increasing degree of effort on behalf of the addressee, a fact that has been neglected almost completely in automated approaches to natural language generation so far. Encountering this problam requires making compromises by reducing the degree of detail in which information is presented, or by explicitly expressing information left implicit otherwise. We identify factors that influence the comprehension effort, and we develop a model that indicates a rough quantified estimate for this effort. We illustrate these ideas by examples of explanations comprising a considerable number of arguments, and we discuss potential impacts of these measurements on the process of composing a message by making compromises.