Identifying Useful Passages in Documents based on Annotation Patterns Frank Shipman, Morgan Price, Cathy Marshall, Gene Golovchinsky FX Palo Alto Laboratory.

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Presentation transcript:

Identifying Useful Passages in Documents based on Annotation Patterns Frank Shipman, Morgan Price, Cathy Marshall, Gene Golovchinsky FX Palo Alto Laboratory

Outline Analysis of the correspondence of annotations to citations in legal domain Design of “mark parser” to recognize and rank-order annotations Example use of mark parser results in XLibris

Reading and Annotation Reading happens: for fun for general knowledge for a particular task Annotations will likely be: nonexistent few and identifying central concepts task-dependent and interpretive

Types of Annotations Annotations in documents can signify: a specific point in the text a reaction to the content Annotations in a task-dependent reading may also be: a comparison a plan for future use But what is useful?

Relationship of Annotation to Citation in Legal Domain Conservative definition of useful: passages cited in final brief Study: Categorize annotations on passages from case documents cited in legal briefs. Count and partly categorize annotations made on all printed cases.

Example: Annotation and Citation Citation: The court in Vernonia stated that the “most significant element” of the case was that the drug testing program “was undertaken in furtherance of the government’s responsibilities, under a public school system, as guardian and tutor of children entrusted to its care.” Vernonia, 515 U.S. at 664. Annotation:

Details Data: case printouts and final briefs for seven Stanford law students Process: for each citation, identify passage in case printout and record annotation category Confounding: not all cases printed (mostly recent ones as older cases were in books)

Documents, Pages, Marks

Marks on Cited Passages * Citations from case documents available for study, (out of number of citations overall.)

Selection using Marks vs. Multimarks Recall (% of cited passages retrieved) Precision (% of selected passages cited) 10% 20% 30% 10%20%30%60%70%80%90%40%50% m5 m1 M1 m7 m6 m3 m2 m4 M2 M7 M4 Happy highlighters Meager markers M3, M5 & M6

Interpretation Individual annotation styles vary greatly For heavier markers, multiple marks on a passage is a relatively selective criteria For lighter markers, any marks on a passage is a relatively selective criteria Remember: citation is a conservative definition of useful...

Lessons for System Design Annotations correlate with usefulness, but there is a lot of noise. need way of locating high-emphasis passages Annotation styles vary greatly. need method of identifying more important passages in any case

Design of the Mark Parser

The Mark Parser Individual Marks and Passages Hierarchy of Marks with Emphasis Weights 1. Cluster marks based on timing, position, and pen type 2. Assign annotation types to clusters with default emphasis values 3. Group clusters based on passages, adding emphasis for new groups.

An Example: The Ideal Highlighter Comment Highlighter Comment Multimarked Passage Multimarked Passage

An Example: Reality

Mark Parser Assessment Mark Parser tested and refined based on reading group data. The Good News: Clustering, categorizing, assigning emphasis, and grouping clusters works as a whole for locating emphasized passages. Caveat: All levels make mistakes, so use of any details of parse requires careful design.

Example Use of Recognized Annotation Structure in XLibris

Identifying High-Value Annotations Emphasis values in XLibris overview.

Overview Features Different icons based on type of marks: selection marks vs. interpretive marks Color of icons based on emphasis: low and high value emphasis Potential for other information: more cues for relative emphasis more mark types

Summary Annotation patterns are idiosyncratic but useful passages are relatively distinguished. Marks can be clustered, categorized into types, and given emphasis values. XLibris provides emphasis marks in overview based on mark parsing results.