Applying Textual Case-Based Reasoning and Information Extraction in Lessons Learned Systems

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Textual Case-Based Reasoning and Information Extraction may assist in constructing Lessons Learned Systems where the lessons are texts. For a particular lesson domain, developers first should identify the kinds of information needed to compare lessons. Information Extraction techniques may then be applied in at least three ways to help extract such information automatically from lesson texts.