Paper: Learning Where to Look: Modeling Eye Movements in Reading

ACL ID W09-1113
Title Learning Where to Look: Modeling Eye Movements in Reading
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2009
Authors

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 classi- fier 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.