Quantitative Evaluation of Explanation-Based Learning as an Optimisation Tool for a Large-Scale Natural Language System.
Christer SamuelssonManny RaynerPublished in: IJCAI (1991)
Keyphrases
- quantitative evaluation
- explanation based learning
- machine learning
- natural language
- domain theory
- ground truth
- qualitative evaluation
- inductive learning
- ground truth data
- error measure
- control knowledge
- learned rules
- dependency directed backtracking
- search control knowledge
- artificial intelligence
- knowledge representation
- real world
- inference rules
- natural language processing
- case based reasoning
- macro operators
- search control rules
- knowledge acquisition
- domain knowledge