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Line 1: {{multiple issues\| {{Underlinked\|date=September 2014}} {{unreferenced\|date=May 2011}} }} '''Textual case-based reasoning''' is a subtopic of [[case-based reasoning]], in short CBR, a popular area in [[artificial intelligence]]. CBR suggests the ways to use past experiences to solve future similar problems, requiring that past experiences be structured in a form similar to attribute - value pairs. This leads to the investigation of textual descriptions for knowledge exploration whose output will be, in turn, used to solve similar problems.

Textual case-based reasoning: Difference between revisions