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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
== Subareas ==
Textual case-base reasoning research has focused on:
* measuring similarity between textual cases<ref name=":0" />
* mapping texts into structured case representations<ref name=":0" />
* adapting textual cases for reuse<ref name=":0" />
* automatically generating representations.<ref name=":0" />
== References ==
{{Reflist}}
== External links ==
* [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
[[Category:Classification algorithms]]
[[Category:Inductive reasoning]]
[[Category:Natural language processing]]
{{NLP-stub}}
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