Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Experiments with a multilanguage non-projective dependency parser
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
E-Z Reader: A cognitive-control, serial-attention model of eye-movement behavior during reading
Cognitive Systems Research
Some empirical tests of an interactive activation model of eye movement control in reading
Cognitive Systems Research
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
An integrated model of eye movements and visual encoding
Cognitive Systems Research
Towards a data-driven model of eye movement control in reading
CMCL '10 Proceedings of the 2010 Workshop on Cognitive Modeling and Computational Linguistics
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We propose a novel machine learning task that consists in learning to predict which words in a text are fixated by a reader. In a first pilot experiment, we show that it is possible to out-perform a majority baseline using a transition-based model with a logistic regression classifier and a very limited set of features. We also show that the model is capable of capturing frequency effects on eye movements observed in human readers.