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1
Meaning in language
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Vectors that act like symbols
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Simplified case
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Tensor Product Representations
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Testing the hypothesis
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Modeling learning
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Probabilistic model
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Sampling formal languages
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Results: Learning formal languages
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Recursion: Results
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Decoupling levels of cognition
Description:
Explore the intersection of vectors and symbols in language processing through this insightful talk. Delve into the concept of meaning in language, examining how vectors can behave like symbols. Investigate simplified cases and Tensor Product Representations to understand the underlying principles. Follow the speaker's journey in testing hypotheses, modeling learning processes, and developing probabilistic models. Gain insights into sampling formal languages and the resulting outcomes in learning these structures. Examine the intriguing results of recursion studies and discover how this research contributes to decoupling different levels of cognition. Enhance your understanding of computational linguistics and cognitive science through this thought-provoking presentation.

Bridging the Divide Between Vectors and Symbols in Language Processing

Santa Fe Institute
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