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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 51–60 of 212 papers

TitleStatusHype
IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements—0
GPT-who: An Information Density-based Machine-Generated Text DetectorCode0
The Many Voices of Duying: Revisiting the Disputed Essays Between Lu Xun and Zhou ZuorenCode0
TOPFORMER: Topology-Aware Authorship Attribution of Deepfake Texts with Diverse Writing StylesCode0
ICLEF: In-Context Learning with Expert Feedback for Explainable Style TransferCode0
Neural Authorship Attribution: Stylometric Analysis on Large Language ModelsCode0
Integrating Bidirectional Long Short-Term Memory with Subword Embedding for Authorship Attribution—0
KUCST at CheckThat 2023: How good can we be with a generic model?—0
Learning Interpretable Style Embeddings via Prompting LLMs—0
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution—0
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