Case Retrieval Reuse Net (CR2N): An Architecture for Reuse of Textual Solutions

This paper proposes textual reuse as the identification of reusable textual constructs in a retrieved solution text. This is done by annotating a solution text so that reusable sections are identifiable from those that need revision. We present a novel and generic architecture, Case Retrieval Reuse Net (CR2N), that can be used to generate these annotations to denote text content as reusable or not. Obtaining evidence for and against reuse is crucial for annotation accuracy, therefore a comparative evaluation of different evidence gathering techniques is presented. Evaluation on two domains of weather forecast revision and health & safety incident reporting shows significantly better accuracy over a retrieve-only system and a comparable reuse technique. This also provides useful insight into the text revision stage.