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Digging by Debating: linking massive datasets to specific arguments

Digging by Debating: linking massive datasets to specific arguments . UK: Prof Andrew Ravenscroft (University of East London) Dr David Bourget (University of London) Prof Chris Reed & John Lawrence & (University of Dundee) US: Prof Colin Allen & Prof Katy Borner (Indiana University).

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Digging by Debating: linking massive datasets to specific arguments

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  1. Digging by Debating: linking massive datasets to specific arguments UK: Prof Andrew Ravenscroft (University of East London) Dr David Bourget (University of London) Prof Chris Reed & John Lawrence & (University of Dundee) US: Prof Colin Allen & Prof Katy Borner (Indiana University)

  2. Map argument dialogue and argumentative search semantics against argument structures implicit within and across texts (Philosophy domain) …harmonise human and machine semantics …extract and interrogate argument relations …deeper dialectic understanding of subjects …find new relations within and across texts (e.g. penetration of science and philosophy)

  3. Hi Colin, can't insert pdf's into ppt in Windows, u have in another image format for them?, .jpg or .png or something dunno why, could play around on the mac but inevitably that would probly throw something else out A

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  5. Candidate technologies/repositories • 1. Data: Hathi Trust, PhilPapers, SEP, InPho (US & London) • 2. Visualisation/Science Mapping: SCiVis (Indiana) • 3. Interfaces: PhilPapers, Dialogue Games/InterLoc (UK) • 4. Argument structure and analysis: Dialogue Games, Araucaria, AIF (UK)

  6. Digital Dialogue Games and InterLoc

  7. OVA: Online Argument Analysis

  8. Contacts • UK Team: Prof Andrew Ravenscroft, UK PI, a.ravenscroft@uel.ac.uk, • Prof Chris Reed, chris@computing.dundee.ac.uk • Dr David Bourget, root@dbourget.com US Team: • Prof Colin Allen, US PI, colallen@indiana.edu Prof Katy Borner, katy@indiana.edu

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