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doi:10.1016/S0957-4174(02)00081-7    
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Copyright © 2002 Elsevier Science Ltd. All rights reserved.

Explaining and justifying the advice of a decision support system: a natural language generation approach

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K. N. PapamichailCorresponding Author Contact Information, E-mail The Corresponding Author and S. FrenchE-mail The Corresponding Author, 1

Manchester Business School, Booth Street West, Manchester M15 6PB, UK


Available online 4 December 2002.

Abstract

This paper describes a method for generating explanations in decision analytic contexts. Unlike other approaches, we use natural language generation techniques. The novelty of the work stems from the development of a library of text plans that structure the explanation messages conveyed. This makes our approach generic and easily adjusted to different contexts. In order to demonstrate the applicability of the method, we have developed a natural language generator that explains and justifies the advice of a decision support system for nuclear emergencies. The generator outputs two reports: a comparative report that explains the rationale behind the ranking of the alternatives and a sensitivity analysis report that gives an overall assessment of the decision model and describes the effect of varying a decision parameter.

Author Keywords: Decision support systems; Expert systems; Explanations in knowledge-based systems; Intelligent systems; Natural language generation

Article Outline

1. Introduction
2. Approaches to automated explanation
3. Requirements analysis
3.1. Need for requirements analysis
3.2. Conducting the requirements analysis
4. Building a natural language generator
5. Text planning
5.1. Content determination
5.2. Discourse planning
6. Sentence generation
6.1. Generating sentences in the FES
6.2. Knowledge representation
6.3. Model parameters
6.4. Statistical comparisons
6.4.1. Quality
6.4.2. Comparison
6.5. Reasoning
6.5.1. Arguments
6.5.2. Insight
6.5.3. Differentiation
6.5.4. Main reason
6.5.5. Dominance
6.6. Sensitivity analysis
6.6.1. Graph
6.6.2. Canned text
6.6.3. Non-computable data
6.6.4. Tables
6.6.5. Interpretation
6.7. Report synthesis
7. Operation of the FES
8. Evaluation
9. Conclusions
Acknowledgements
References





1 Tel.: +44-161-275-6401; fax: +44-161-275-7134.


 
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