4 citations · 9 across the 25 of their papers we have counts for
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cs.CL2023
The Ethics of Automating Legal Actors
Josef Valvoda, Alec Thompson, Ryan Cotterell +1
The introduction of large public legal datasets has brought about a renaissance in legal NLP. Many of these datasets are comprised of legal judgements - the product of judges decid…
cs.CL2023
On the Representational Capacity of Recurrent Neural Language Models
Franz Nowak, Anej Svete, Li Du +1
This work investigates the computational expressivity of language models (LMs) based on recurrent neural networks (RNNs). Siegelmann and Sontag (1992) famously showed that RNNs wit…
cs.CL2023
Recurrent Neural Language Models as Probabilistic Finite-state Automata
Anej Svete, Ryan Cotterell
Studying language models (LMs) in terms of well-understood formalisms allows us to precisely characterize their abilities and limitations. Previous work has investigated the repres…