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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.




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 Retrieval
Textual Case-Based Reasoning Wiki Archived 2012-06-15 at the Wayback Machine

Kata Kunci Pencarian:

• Textual case-based reasoning
• Outline of thought
• Index of logic articles
• Prompt engineering
• New Living Translation
• Commonsense reasoning
• Large language model
• Outline of machine learning
• Scriptural reasoning
• Casuistry

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