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Textual case-based reasoning

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Textual case based reasoning is a subtopic of Case-based reasoning, in short CBR, a popular area in Artificial Intelligence. Basically CBR suggests the ways to use past experiences to solve future similar problems.. However, it requires a prerequisite that past experiences should be structured in a form similar to attribute - value pairs. In recent days, users share their vast experiences through blogs and popular messaging services like twitter. In such textual descriptions, how to find and extract the knowledge relations in the form 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.

References

  • Fourth Workshop on Textual Case-Based Reasoning: Beyond Retrieval [1]



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