Linguistics Department

Colloquium - Frank Keller (University of Edinburgh)

Modeling Task Effects in Human Reading with Neural Attention

Mon, March 27, 2017 | CLA 1.302B (Glickman Center)

3:30 PM - 5:30 PM

Humans read by making a sequence of fixations and saccades. They often skip words, without apparent detriment to understanding. We offer a novel explanation for skipping: readers optimize a tradeoff between performing a language related task and fixating as few words as possible. We propose a neural architecture that combines an attention module (deciding whether to skip words) and a task module (memorizing the input). We show that our model predicts human skipping behavior, while also modeling reading times well, even though it skips 40% of the input. A key prediction of our model is that different reading tasks should result in different skipping behaviors. We confirm this prediction in an eye tracking experiment in which participants answers questions about a text. We are able to capture these experimental results using our model, replacing the memorization module with a task module that performs neural question answering.

Bio:

Frank Keller is professor of computational cognitive science in the School of Informatics at the University of Edinburgh. His background includes an undergraduate degree from Stuttgart University, a PhD from Edinburgh, and postdoctoral and visiting positions at Saarland University and MIT. His research focuses on how people solve complex tasks such as understanding language or processing visual information. His work combines experimental techniques with computational modeling to investigate reading, sentence comprehension, translation, and language generation, both in isolation and in a multimodal context. Prof. Keller serves on the management committee of the European Network on Vision and Language, is a member of governing board of the European Association for Computational Linguistics, and recently completed an ERC grant in the area of vision and language.

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