digging by debating: linking massive datasets to specific arguments
DESCRIPTION
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). - PowerPoint PPT PresentationTRANSCRIPT
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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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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)
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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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,
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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)
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Digital Dialogue Games and InterLoc
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OVA: Online Argument Analysis
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Contacts
UK Team:Prof Andrew Ravenscroft, UK PI, [email protected], Prof Chris Reed, [email protected] David Bourget, [email protected]
US Team:Prof Colin Allen, US PI, [email protected] Katy Borner, [email protected]