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Language Speech Communication Sciences

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Language Speech Communication Sciences

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Research Frontiers in Semantic Compositionality in Neural Networks

Analyzes how deep learning models learn and represent the compositional structure of meaning in language.

Emergent Compositional Structure in Transformer Embeddings
Syntax-Semantic Decoupling in Deep Language Models
Distributional Grounding of Abstract Semantic Composition
Recursive Meaning Construction Beyond Linear Token Sequences
Compositional Generalization Failures at the Semantic Boundary
Neural Binding Mechanisms for Compositional Phrase Semantics
Semantic Atomicity and Holism in Distributed Representations
Cross-Lingual Compositional Alignment in Multilingual Networks
Prototype Extraction from Compositional Neural Spaces
Negation Scope Resolution Through Compositional Interference

All Language, Speech & Communication Sciences PhD categories