Papers by Daniele P. Radicioni

1 papers
Beyond the Average Reader: the Reader Embedding Approach (2025.findings-acl)

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Challenge: a new approach to predict reading times is proposed to use eye-tracking data to collect data from all subjects rather than from the most similar ones.
Approach: They propose a method to collect eye-tracking data that are averaged and used to train learning models.
Outcome: The proposed approach outperforms existing methods by combining eye-tracking data with averaged data.

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