Developing Mapping and Evaluation Techniques for Textual Case-Based Reasoning
Kevin D. Ashley, Stefanie Brüninghaus · 1998
Textual Case-Based Reasoning (CBR) is not simply In-formation Retrieval (IR) of text documents which happen also to be cases. Nor does it involve only techniques for au-tomatically determining what cases represented as texts are about or techniques for automatically indexing such cases under relevant features. Textual CBR is still case-based reasoning, and for us, that means drawing inferences about problem situations by com-paring them to past decided cases. This specific property distinguishes textual CBR from other techniques such as IR. In other words, we believe that (1) textual CBR should also involve drawing inferences by computationally comparing cases expressed as texts. More accurately, given the techni-cal difficulties of computationally comparing case texts, we take this as our working hypothesis. We believe it is worth