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.
This work was done under partial support of Mexican Government (CONACyT, SNI), Autonomous University of Hidalgo State, and National Polytechnic Institute, Mexico.
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© 2006 Springer-Verlag Berlin Heidelberg
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de los Ángeles Alonso-Lavernia, M., De-la-Cruz-Rivera, A.V., Sidorov, G. (2006). Generation of Natural Language Explanations of Rules in an Expert System. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2006. Lecture Notes in Computer Science, vol 3878. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11671299_32
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DOI: https://doi.org/10.1007/11671299_32
Publisher Name: Springer, Berlin, Heidelberg
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