A Neural-Symbolic Approach to the Contemporary Theory of Metaphor
A Neural-Symbolic Approach to the Contemporary Theory of Metaphor
A Neural-Symbolic Approach to the Contemporary Theory of Metaphor
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<strong>Contemporary</strong> <strong>Theory</strong> <strong>of</strong> <strong>Metaphor</strong> Sets, Functions and Networks Example Applications and conclusion<br />
Conclusions<br />
In this work, we model <strong>the</strong> cognitive <strong>the</strong>ory <strong>of</strong> metaphor, as<br />
defined by Lak<strong>of</strong>f, as a monomorphism. With this approach we are<br />
able <strong>to</strong> prove that local computation can be performed over a more<br />
familiar domain. We propose a framework that relies on <strong>the</strong> CILP<br />
system and RBMs and allows <strong>to</strong> perform learning and reasoning<br />
over unknown domains.<br />
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