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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[when?], 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

Weber, R. O., Ashley, K., & Brüninghaus, S. (2005). Textual Case-Based Reasoning. Knowledge Engineering Review, 20(3), 255–260.

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