Natural language generation systems
Computer generation of multiparagraph English text
Computational Linguistics
Computational Linguistics
Modeling extemporaneous elaboration
EACL '87 Proceedings of the third conference on European chapter of the Association for Computational Linguistics
Conceptual revision for natural language generation
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Anticipating the reader's problems and the automatic generation of paraphrases
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
A three-level revision model for improving Japanese bad-styled expressions
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
The counselor project at the University of Massachusetts
HLT '86 Proceedings of the workshop on Strategic computing natural language
Dynamically improving explanations: a revision-based approach to explanation generation
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
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We outline a model of generation with revision, focusing on improving textual coherence. We argue that high quality text is more easily produced by iteratively revising and regenerating, as people do, rather than by using an architecturally more complex single pass generator. As a general area of study, the revision process presents interesting problems: Recognition of flaws in text requires a descriptive theory of what constitutes well written prose and a parser which can build a representation in those terms. Improving text requires associating flaws with strategies for improvement. The strategies, in turn, need to know what adjustments to the decisions made during the initial generation will produce appropriate modifications to the text. We compare our treatment of revision with those of Mann and Moore (1981), Gabriel (1984), and Mann (1983).