Publication: Native Language Identification Improves Authorship Attribution
Native Language Identification Improves Authorship Attribution
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Uluslu, A. Y., Schneider, G., & Yildizli, C. (2024). Native Language Identification Improves Authorship Attribution. 289–296. https://aclanthology.org/2024.icnlsp-1.0
Abstract
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Abstract
This study investigates the integration of native language identification into authorship attribution, a previously unexplored aspect that is particularly important in multilingual contexts. We introduce AA-NLI50, a new dataset containing both native language and authorship information. We propose a novel chain-of-thought approach for native language identification. Our findings demonstrate that our system significantly enhances authorship attribution performance, with results showing a mean accuracy improvement of 9% over baseline me
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Uluslu, A. Y., Schneider, G., & Yildizli, C. (2024). Native Language Identification Improves Authorship Attribution. 289–296. https://aclanthology.org/2024.icnlsp-1.0
