Representing Abstract and Concrete Concepts - Why and When Features should Feature
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If you have a question about this talk, please contact Ekaterina Kochmar.
We present novel evidence that abstract and concrete concepts are organized
and represented differently in the mind, based on analyses of thousands of
concepts in publicly available datasets and computational resources. First,
we show that abstract and concrete concepts have differing patterns of
association with other concepts. Second, we test recent hypotheses that
abstract concepts are organized according to association, whereas concrete
concepts are organized according to (semantic) similarity. Third, we
present evidence suggesting that concrete representations are more strongly
feature-based than abstract representations. We argue that degree of
feature-based structure may fundamentally determine concreteness, and
discuss the implications for both cognitive and computational models of
meaning.
This talk is part of the NLIP Seminar Series series.
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