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Date created: 2023-05-31 04:08 AM | Last Updated: 2024-08-07 04:04 PM

Identifier: DOI 10.17605/OSF.IO/45P3J

Category: Data

Description: A dataset for investigating how to adapt a language model to a given user. Data is based on the sent email messages of employees at Enron.

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This dataset is designed for comparing different algorithms for adapting a language model to the writing of a particular user. It contains the sent email messages of employees of Enron separated by user and in chronological order.

We based our dataset on the Enron Personalization Validation Set released by Google and used in this CHI 2015 paper by Fowler, et al. on language model personalization. …

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Tags

human-computer interactionlanguage model personalizationtouchscreen typing

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