=Paper=
{{Paper
|id=Vol-1467/LD4IE2015_invited_Welty
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-1467/LD4IE2015_invited_Welty.pdf
|volume=Vol-1467
}}
==None==
<pdf width="1500px">https://ceur-ws.org/Vol-1467/LD4IE2015_invited_Welty.pdf</pdf>
<pre>
              Goodbye to True:
Advancing semantics beyond the black and white

                                 Chris Welty

                      Google Research, New York, USA
                            cawelty@gmail.com



   Abstract. The set-theoretic notion of truth proposed by Tarski is the
   basis of most work in machine semantics and probably has its roots in
   the work and influence of Aristotle. We take it for granted that the world
   can be described, not in shades of grey, but in terms of statements and
   propositions that are either true or false - and it seems most of western
   science stands on the same principle. This assumption at the core of our
   training as scientists should be questioned, because it stands in direct
   opposition to our human experience. Is there any statement that can be
   made that can actually be reduced to true or false? Only, it seems, in
   the artificial human-created realms of mathematics, games, and logic. We
   have been investigating a different mode of truth, inspired by results in
   Crowdsourcing, which allows for a highly dimension notion of semantic
   interpretation that makes true and false look like a childish simplifying
   assumption.

</pre>