Abstract

We present a domain-independent method for generation of natural language explanations of rules in expert systems. The method is based on explanatory rules written in a procedural formal language, which build the explanation from predefined natural language texts fragments. For better style, a specific text fragment is randomly selected from a group of synonymous expressions. We have implemented 16 groups of explanatory rules and 74 groups of explanatory texts containing about 200 text fragments.

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