1 citations · 1 across the 5 of their papers we have counts for
5 papers
Systematic Generalization with Edge Transformers
Leon Bergen, Timothy J. O'Donnell, Dzmitry Bahdanau
Recent research suggests that systematic generalization in natural language understanding remains a challenge for state-of-the-art neural models such as Transformers and Graph Neur…
Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention
Leon Bergen, Dzmitry Bahdanau, Timothy J. O'Donnell
We present a model that jointly learns the denotations of words together with their groundings using a truth-conditional semantics. Our model builds on the neurosymbolic approach o…
Word Frequency Does Not Predict Grammatical Knowledge in Language Models
Charles Yu, Ryan Sie, Nico Tedeschi +1
Neural language models learn, to varying degrees of accuracy, the grammatical properties of natural languages. In this work, we investigate whether there are systematic sources of…
Grammar Induction for Minimalist Grammars using Variational Bayesian Inference : A Technical Report
Eva Portelance, Amelia Bruno, Daniel Harasim +2
The following technical report presents a formal approach to probabilistic minimalist grammar parameter estimation. We describe a formalization of a minimalist grammar. We then pre…
Non-uniform mixing of quantum walk on cycles
William Adamczak, Kevin Andrew, Leon Bergen +4
A classical lazy random walk on cycles is known to mix to the uniform distribution. In contrast, we show that a continuous-time quantum walk on cycles exhibit strong non-uniform mi…