Identifying useful passages in documents based on annotation patterns
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Many readers annotate passages that are important to their work. If we understand the relationship between the types of marks on a passage and the passage's ultimate utility in a task, then we can design e-book software to facilitate access to the most important annotated parts of the documents. To investigate this hypothesis and to guide software design, we have analyzed annotations collected during an earlier study of law students reading printed case law and writing Moot Court briefs. This study has allowed us to characterize the relationship between the students' annotations and the citations they use in their final written briefs. We think of annotations that relate directly to the written brief as high-value annotations; these annotations have particular, detectable characteristics. Based on this study we have designed a mark parser that analyzes freeform digital ink to identify such high-value annotations. Springer-Verlag 2003.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
author list (cited authors)
Shipman, F., Price, M., Marshall, C. C., & Golovchinsky, G.
complete list of authors
Shipman, F||Price, M||Marshall, CC||Golovchinsky, G