'''Textual case based reasoning''' is a subtopic of [[Case-based reasoning]], in short CBR, a popular area in [[Artificial Intelligence]]. Basically CBR suggests the ways to use past experiences to solve future similar problems.. However, it requires a prerequisiterequiring that past experiences should be structured in a form similar to attribute - value pairs. In recent days{{when|date=December 2011}}, users share their vast experiences through blogs and popular messaging services like [[Twitter]]. In such textual descriptions, how to find and extract the knowledge relations in the form 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.
