ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Case Retrieval Nets: Basic Ideas and Extensions
KI '96 Proceedings of the 20th Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Building CBR systems with jcolibri
Science of Computer Programming
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Evaluation Measures for TCBR Systems
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Fast case retrieval nets for textual data
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Learning to Author Text with textual CBR
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Applying machine translation evaluation techniques to textual CBR
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
Recognition of higher-order relations among features in textual cases using random indexing
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
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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.