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Authorship Attribution

Authorship attribution, also known as authorship identification, aims to attribute a previously unseen text of unknown authorship to one of a set of known authors.

Papers

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Showing 151–160 of 212 papers

TitleStatusHype
IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements—0
I Know Which LLM Wrote Your Code Last Summer: LLM generated Code Stylometry for Authorship Attribution—0
Integrated ensemble of BERT- and features-based models for authorship attribution in Japanese literary works—0
Integrating Bidirectional Long Short-Term Memory with Subword Embedding for Authorship Attribution—0
Invariance-Preserving Localized Activation Functions for Graph Neural Networks—0
Is Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text—0
Jointly Learning Author and Annotated Character N-gram Embeddings: A Case Study in Literary Text—0
KUCST at CheckThat 2023: How good can we be with a generic model?—0
Labelled network subgraphs reveal stylistic subtleties in written texts—0
Language and Dialect Discrimination Using Compression-Inspired Language Models—0
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