An Implementation of a Flexible Author-Reviewer Model of Generation using Genetic Algorithms
نویسندگان
چکیده
This paper proposes performing natural language generation using genetic algorithms to address two issues: the difficulty in controlling global textual features which arise from a large number of interdependent local decisions, and the difficulty in applying conventional NLG wisdom in domains where the communicative goal lacks sufficient detail. It presents details of an implemented system that embodies the aforementioned proposal, and discusses the results of an empirical study conducted using the system.
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