8 citations · 18 across the 14 of their papers we have counts for
4 papers · 1 filter
Resolving Open-textured Rules with Templated Interpretive Arguments
John Licato, Logan Fields, Zaid Marji
Open-textured terms in written rules are typically settled through interpretive argumentation. Ongoing work has attempted to catalogue the schemes used in such interpretive argumen…
Cognitive Modeling of Semantic Fluency Using Transformers
Animesh Nighojkar, Anna Khlyzova, John Licato
Can deep language models be explanatory models of human cognition? If so, what are their limits? In order to explore this question, we propose an approach called hyperparameter hyp…
Predicting Human Psychometric Properties Using Computational Language Models
Antonio Laverghetta, Animesh Nighojkar, Jamshidbek Mirzakhalov +1
Transformer-based language models (LMs) continue to achieve state-of-the-art performance on natural language processing (NLP) benchmarks, including tasks designed to mimic human-in…
Developmental Negation Processing in Transformer Language Models
Antonio Laverghetta, John Licato
Reasoning using negation is known to be difficult for transformer-based language models. While previous studies have used the tools of psycholinguistics to probe a transformer's ab…