subject predicate object context
2448 Creator 19fae8a5f7d2e4e1a37e5eefa7a11543
2448 Creator 9afa68dd69478bd8c51fc7afa957a53c
2448 Creator 4d38a06111ae7d417bc97e271d586aac
2448 Date 2004
2448 Is Part Of repository
2448 abstract Imprecise diagrams (those with malformed, missing, or extraneous features) occur in many situations. We propose a five-stage architecture for interpreting such diagrams and have implemented a tool, within this architecture, for automatically grading answers to examination questions. The approach is based on identifying (possibly malformed) minimal meaningful units and interpreting them to yield a meaningful result. Early indications are that the tools performance is similar to that of human markers.
2448 authorList authors
2448 editorList editors
2448 issue 2980
2448 presentedAt ext-680997311c450487afc81614b7cd7ebc
2448 status peerReviewed
2448 type Article
2448 type BookSection
2448 label Waugh, Kevin ; Thomas, Pete and Smith, Neil (2004). Interpreting imprecise diagrams. In: Blackwell, Alan; Marriott, Kim and Shimojima, Atsushi eds. Diagrammatic representation and inference: Third International Conference, Diagrams 2004, Cambridge, UK, March 22-24, 2004. Proceedings. Lecture notes in computer science (2980). Springer Berlin / Heidelberg, 239 -241.
2448 label Waugh, Kevin ; Thomas, Pete and Smith, Neil (2004). Interpreting imprecise diagrams. In: Blackwell, Alan; Marriott, Kim and Shimojima, Atsushi eds. Diagrammatic representation and inference: Third International Conference, Diagrams 2004, Cambridge, UK, March 22-24, 2004. Proceedings. Lecture notes in computer science (2980). Springer Berlin / Heidelberg, 239 -241.
2448 Publisher ext-42dc40acc117c99f3b0744db56d326e3
2448 Title Interpreting imprecise diagrams
2448 in dataset oro