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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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* [http://tcbr.dei.uc.pt/ Fourth Workshop on Textual Case-Based Reasoning: Beyond Retrieval]
* [http://cbrwiki.fdi.ucm.es/mediawiki/index.php/Textual_Case-Based_Reasoning Textual Case-Based Reasoning Wiki] {{Webarchive|url=https://web.archive.org/web/20120615130422/http://cbrwiki.fdi.ucm.es/mediawiki/index.php/Textual_Case-Based_Reasoning |date=2012-06-15 }}
{{AI-stub}}▼
[[Category:Classification algorithms]]
[[Category:Inductive reasoning]]
[[Category:Natural language processing]]
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