Textual case-based reasoning: Difference between revisions

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{{New unreviewed article|source=ArticleWizard|date=May 2011}}

'''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 the past experienceexperiences to solve future similar problems.. However, theit requires a prerequisite that past experiences should be structured in a form similar to attribute - value pairs. In modernrecent days, users share their vast experiences through the blogs and popular short 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 whichwhose output will be, in turn, used to solve similar problems.

== References ==