Bridging the Divide Between Vectors and Symbols in Language Processing

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.

Meaning in language
Vectors that act like symbols
Simplified case
Tensor Product Representations
Testing the hypothesis
Modeling learning
Probabilistic model
Sampling formal languages
Results: Learning formal languages
Recursion: Results
Decoupling levels of cognition