Evaluating a Textual Adaptation System
| Autor: | Valmi Dufour-Lussier, Jean Lieber |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Process (engineering)
Computer science Textual case-based reasoning business.industry On the fly media_common.quotation_subject Recipe computer.software_genre Variety (cybernetics) Domain knowledge Quality (business) Artificial intelligence Adaptation (computer science) business computer Natural language processing media_common |
| Zdroj: | Case-Based Reasoning Research and Development ISBN: 9783319245850 ICCBR |
| Popis: | This paper presents a CBR method to retrieve and adapt processes represented as instruction texts, as well as the evaluation methodology that we developed to evaluate it. The evaluation process is user-based, blind and comparative. It is less labour intensive than most existing approaches and is more open to a variety of possible solutions to the same query, among other benefits. It also makes it possible to evaluate separately the textual adaptation process and the underlying formal adaptation process. Craqpot, a CBR system that adapts recipe texts, using a case-based process to extract domain knowledge on the fly, is presented and evaluated. We show that it generates recipes of good quality and texts of acceptable quality. |
| Databáze: | OpenAIRE |
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