Identifying Useful Passages in Documents Based on Annotation Patterns

  • Frank Shipman
  • Morgan Price
  • Catherine C. Marshall
  • Gene Golovchinsky
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2769)

Abstract

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 relation-ship 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.

Keywords

Multiple Mark Annotation Type Marked Passage Annotation Pattern High Emphasis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Frank Shipman
    • 2
  • Morgan Price
    • 1
  • Catherine C. Marshall
    • 3
  • Gene Golovchinsky
    • 1
  1. 1.FX Palo Alto LaboratoryPalo AltoUSA
  2. 2.Department of Computer ScienceTexas A&M UniversityCollege StationUSA
  3. 3.Microsoft CorporationRedmondUSA

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