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Found 4 papers, 3 papers with code
Probabilistic Predictions of People Perusing: Evaluating Metrics of Language Model Performance for Psycholinguistic Modeling
By positing a relationship between naturalistic reading times and information-theoretic surprisal, surprisal theory (Hale, 2001; Levy, 2008) provides a natural interface between language models and psycholinguistic models.
Finding Hierarchical Structure in Neural Stacks Using Unsupervised Parsing
Neural network architectures have been augmented with differentiable stacks in order to introduce a bias toward learning hierarchy-sensitive regularities.
Finding Syntactic Representations in Neural Stacks
Neural network architectures have been augmented with differentiable stacks in order to introduce a bias toward learning hierarchy-sensitive regularities.
Context-Free Transductions with Neural Stacks
This paper analyzes the behavior of stack-augmented recurrent neural network (RNN) models.
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