Textual case-based reasoning (TCBR) is a subtopic of
case-based reasoning, in short CBR, a popular area in
artificial intelligence
Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by animals and humans. Example tasks in which this is done include speech re ...
. 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.
Subareas
Textual case-base reasoning research has focused on:
* measuring similarity between textual cases
* mapping texts into structured case representations
* adapting textual cases for reuse
* automatically generating representations.
References
External links
Fourth Workshop on Textual Case-Based Reasoning: Beyond RetrievalTextual Case-Based Reasoning Wiki
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Classification algorithms
Inductive reasoning
Natural language processing