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Improving sentence compression by learning to predict gaze

Sigrid Klerke Yoav Goldberg Anders Søgaard

Abstract

We show how eye-tracking corpora can be used to improve sentence compression models, presenting a novel multi-task learning algorithm based on multi-layer LSTMs. We obtain performance competitive with or better than state-of-the-art approaches.


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Improving sentence compression by learning to predict gaze | Papers | HyperAI