Papers with author-topic configuration

1 papers
The Topic Confusion Task: A Novel Evaluation Scenario for Authorship Attribution (2021.findings-emnlp)

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Challenge: Autorship attribution is the problem of identifying the most plausible author of an anonymous text from a set of candidate authors.
Approach: They propose a topic confusion task where they switch the author-topic configuration between training and testing sets and propose attribution errors that are caused by the topic shift and by the features’ inability to capture the writing styles.
Outcome: The proposed task combines author-topic configuration with other features to lower topic confusion and higher attribution accuracy.

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