Bilingual generation of job descriptions from quasi-conceptual forms
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
Automatic acquisition of hierarchical transduction models for machine translation
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Exploiting a probabilistic hierarchical model for generation
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Evaluation metrics for generation
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
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We consider how far two attributes of text quality commonly used in MT evaluation -- intelligibility and fidelity -- apply within NLG. While the former appears to transfer directly, the latter needs to be completely re-interpreted. We make a crucial distinction between the needs of symbolic authors and those of end-readers. We describe a form of textual feedback, based on a controlled language used for specifying software requirements that appears well suited to authors' needs, and an approach for incrementally improving the fidelity of this feedback text to the content model.