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Supporting the Generation of Argument Structure

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Example Explained The annotations Rhetorical Argumentation model: Toulmin model Rhetorical Statement (mostly verbal, but visual also possible) ... – PowerPoint PPT presentation

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Title: Supporting the Generation of Argument Structure


1
Supporting the Generation of Argument
Structure within Video Sequences
2
Talk Outline
  • The motivation and vision of the work
  • What is needed
  • Annotations
  • Editing Process
  • Editor Support
  • Conclusions

3
Existing Documentaries
  • Traditional video authoring the footage is
    selected and edited for the final cut
  • there is only one final version, what is shown is
    the choice of the author / editor
  • Material can be very rich and controversial (e.g.
    Voices of Iraq)

4
New Paradigm
  • Proposed video authoring
  • Annotate the video material semantics
  • Edit it automatically, selecting what the user
    asks to see
  • Use the Web as an interactive distribution mean
  • More than a sequence of matching video
    fragments)
  • Argumentation/rhetoric
  • Narrative

5
Video material
  • Interview with America video footage with
    interviews and background material about the
    opinion of American people after 9-11
  • www.interviewwithamerica.com
  • Annotations 1 hour annotated, 15 interviews, 60
    interview segments, 120 statements

6
What do you think of the war in Afghanistan?
7
Example Explained
Two billions dollar bombs on tents
contradict
I cannot think of a more effective solution
weaken
I am not a fan of military actions
support
War has never solved anything
8
The annotations
  • Rhetorical
  • Argumentation model Toulmin model
  • Rhetorical Statement (mostly verbal, but visual
    also possible)
  • Descriptive
  • Question asked
  • Interviewee (social)
  • Filmic (e.g. location/time/framing/gaze)

9
Encode statements
  • Statement formally annotated
  • ltsubjectgt ltmodifiergt ltpredicategt
  • E.g. war best solution
  • A thesaurus containing
  • Terms for each part (155 in total)
  • Relations between terms similar (72), opposite
    (108), generalization (10), specialization (10)
  • E.g. war opposite diplomacy
  • Relations in the thesaurus determine link type
    between statements

10
Automatic Linking Process
  • STEP1 Using the thesaurus, generate related
    statements, by replacing iteratively terms
  • E.g. from war best solution diplomacy best
    solution, war not solution
  • STEP2 Query the repository to see whether the
    statement is present

11
Connect statements
  • Create a graph of related statements
  • Nodes are the statements (video segments), edges
    are either support or contradict

S8
S7
S0
S1
S6
S2
S9
S4
support
S3
S5
contradict
12
Author/Annotator support
  • Capability of generating different arguments
    depends on the quality of the Semantic Graph
  • Statements (and corresponding video segments) not
    connect are lost for generation
  • Our case out of 118 statements 54 were not
    connected
  • Measure the performance of the automatic linking
    process

13
Indices for statements
  • Measure how many statements are generated from a
    given one
  • depends on the quantity of the relations in the
    thesaurus
  • Measure how many generates statements are present
    in the repository
  • Depends on correctness of the relations in the
    thesaurus

14
Index for relations
  • Measure how a particular relation in the
    thesaurus is performing
  • If a generated statement is present in the
    repository, the relations used to generate it get
    one point on a hit score, otherwise one point on
    the miss score
  • The ratio hit/miss gives an idea of the semantic
    accuracy of the relation with respect to the
    repository

15
Current/future Work
  • Automatic Relation suggestion
  • Start with a fully connected thesaurus, keep only
    best relations
  • Suggest best relation to add to existing ones
  • Linking Process tuning
  • Currently 3 iterations for performance, but the
    process runs of-line more iterations possible
  • Different repositories (VJ project)

16
Conclusions
  • New documentary production mechanism, multiple
    versions
  • Different authoring, author does not have full
    control anymore
  • Authoring support needed

17
Questions?
  • Thanks for your attention

18
Pointers Acknowledgments
  • This presentation and Demo available at
  • http//www.cwi.nl/media/demo/IWA/
  • This research was funded by the Dutch national
    ToKeN2000 I2RP and CHIME projects.

19
Author/Annotator support
  • Provide means to measure the performance of the
    creation of the Semantic Graph
  • Reengineer the Semantic Graph generation
  • Changing annotations
  • Changing relations in the Thesaurus

20
What do you think of the war in Afghanistan?
I am not a fan of military actions
I cannot think of a more effective solution
War has never solved anything
Two billions dollar bombs on tents
21
Toulmin model
57 Claims, 16 Data, 4 Concessions, 3 Warrants, 1
Condition
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