Papers by Rafael Rivera Soto

1 papers
Can Authorship Representation Learning Capture Stylistic Features? (2023.tacl-1)

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Challenge: Existing methods to disentangle an author's style from the content of their writing are limited by the reliance on human labels and the narrow focus of stylistic distinctions.
Approach: They propose to use a surrogate task to learn authorship representations that are sensitive to writing style and to validate their hypothesis .
Outcome: The proposed representations are sensitive to writing style and may be robust to topic drift over time.

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