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When people read, they update their mental model of the world. What exactly is the semantic/conceptual representation that is being updated? Given that theories of semantics/concepts are motivated by different empirical phenomena, how do we even compare semantic representations? We propose an information-theoretic framework for evaluating semantic representations independent of their origin. Fundamentally, representation schemes are encodings of semantic information. As a result, channel limited systems (humans) must have a utility function specifying which information to privilege when encoding and thus, which information is most likely lost/forgotten. We evaluate the sensitivity of our metric using a story re-telling paradigm.
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