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'''Textual case-based reasoning''' (TCBR) 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.<ref name=":0">{{Cite journal|
== Subareas ==
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