Case retrieval reuse net (CR2N): An architecture for reuse of textual solutions

Ibrahim Adeyanju*, Nirmalie Wiratunga, Robert Lothian, Somayajulu Sripada, Luc Lamontagne

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationCase-Based Reasoning Research and Development - 8th International Conference on Case-Based Reasoning, ICCBR 2009, Proceedings
EditorsLorraine McGinty, David C. Wilson
PublisherSpringer-Verlag
Pages14-28
Number of pages15
ISBN (Print)3642029973, 9783642029974
DOIs
Publication statusPublished - 2 Nov 2009
Event8th International Conference on Case-Based Reasoning, ICCBR 2009 - Seattle, WA, United States
Duration: 20 Jul 200923 Jul 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5650 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Case-Based Reasoning, ICCBR 2009
CountryUnited States
CitySeattle, WA
Period20/07/0923/07/09

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ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Adeyanju, I., Wiratunga, N., Lothian, R., Sripada, S., & Lamontagne, L. (2009). Case retrieval reuse net (CR2N): An architecture for reuse of textual solutions. In L. McGinty, & D. C. Wilson (Eds.), Case-Based Reasoning Research and Development - 8th International Conference on Case-Based Reasoning, ICCBR 2009, Proceedings (pp. 14-28). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5650 LNAI). Springer-Verlag. https://doi.org/10.1007/978-3-642-02998-1_3