Type-Driven Suppression of Redundancy in the Generation of Inference-Rich Reports

We present a general solution to a common tactical problem, the contextsensitive suppression of redundant information. This solution is sensitive to unplanned, domain-specific inferences in the prior text. It employs a new, lexically grounded, conceptual representation for communicable information, which is part of a reversible model of how surface structures communicate information in naturally occurring reports.

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