5 papers
Algorithmic Consequences of Particle Filters for Sentence Processing: Amplified Garden-Paths and Digging-In Effects
Amani Maina-Kilaas, Roger Levy
Under surprisal theory, linguistic representations affect processing difficulty only through the bottleneck of surprisal. Our best estimates of surprisal come from large language m…
Revisiting Real-Time Digging-In Effects: No Evidence from NP/Z Garden-Paths
Amani Maina-Kilaas, Roger Levy
Digging-in effects, where disambiguation difficulty increases with longer ambiguous regions, have been cited as evidence for self-organized sentence processing, in which structural…
Learning Phonotactics from Linguistic Informants
Canaan Breiss, Alexis Ross, Amani Maina-Kilaas +2
We propose an interactive approach to language learning that utilizes linguistic acceptability judgments from an informant (a competent language user) to learn a grammar. Given a g…
Preconditioned Visual Language Inference with Weak Supervision
Ehsan Qasemi, Amani R. Maina-Kilaas, Devadutta Dash +2
Humans can infer the affordance of objects by extracting related contextual preconditions for each scenario. For example, upon seeing an image of a broken cup, we can infer that th…
An Interpretable Joint Nonnegative Matrix Factorization-Based Point Cloud Distance Measure
Hannah Friedman, Amani R. Maina-Kilaas, Julianna Schalkwyk +2
In this paper, we propose a new method for determining shared features of and measuring the distance between data sets or point clouds. Our approach uses the joint factorization of…