Frank Keller

Character-based Surprisal as a Model of Reading Difficulty in the Presence of Errors

2019

Intuitively, human readers cope easily with errors in text; typos, misspelling, word substitutions, etc. do not unduly disrupt natural reading. Previous work indicates that letter transpositions result in increased reading times, but it is unclear …

Modeling Task Effects in Human Reading with Neural Network-based Attention

2022

Research on human reading has long documented that reading behavior shows task-specific effects, but it has been challenging to build general models predicting what reading behavior humans will show in a given task. We introduce …

Predicting Implicit Arguments in Procedural Video Instructions

2025 · arXiv (Cornell University)

Procedural texts help AI enhance reasoning about context and action sequences. Transforming these into Semantic Role Labeling (SRL) improves understanding of individual steps by identifying predicate-argument structure like {verb,what,where/with}. Procedural instructions are highly elliptic, for …