Evaluating a textual adaptation system

Valmi Dufour-Lussier (1) , Jean Lieber (2)

1 Université de Moncton
2 ORPAILLEUR - Knowledge representation, reasonning

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.

Mots clés: adaptation; evaluation; textual case-based reasoning; process-oriented case-based reasoning

Domaines: Intelligence artificielle [cs.AI]

Valmi Dufour-Lussier, Jean Lieber. Evaluating a textual adaptation system. International Conference on Case-Based Reasoning, Sep 2015, Frankfurt, Germany. ⟨hal-01178331⟩