A probabilistic earley parser as a psycholinguistic model
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Uncertainty reduction as a measure of cognitive processing effort
CMCL '10 Proceedings of the 2010 Workshop on Cognitive Modeling and Computational Linguistics
An oculomotor-based model of eye movements in reading: The competition/interaction model
Cognitive Systems Research
Eye movements as time-series random variables: A stochastic model of eye movement control in reading
Cognitive Systems Research
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Survival analysis is often used in medical and biological studies to examine the time until some specified event occurs, such as the time until death of terminally ill patients. In this paper, however, we apply survival analysis to eye movement data in order to model the survival function of fixation time distributions in reading. Semiparametric regression modeling and novel evaluation methods for probabilistic models of eye movements are presented. Survival models adjusting for the influence of linguistic and cognitive effects are shown to reduce prediction error within a critical time period, roughly between 150 and 250 ms following fixation onset.