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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 176–200 of 212 papers

TitleStatusHype
Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning—0
Authorship Verification - An Approach based on Random Forest—0
Authorship attribution via network motifs identification—0
A Supervised Authorship Attribution Framework for Bengali Language—0
Exploring the Intersection of Short Answer Assessment, Authorship Attribution, and Plagiarism Detection—0
Domain Specific Author Attribution Based on Feedforward Neural Network Language ModelsCode0
Authorship Attribution Using a Neural Network Language ModelCode0
Authorship Attribution in Bengali Language—0
Maximal Repeats Enhance Substring-based Authorship Attribution—0
Authorship Attribution and Author Profiling of Lithuanian Literary Texts—0
Towards a better understanding of Burrows's Delta in literary authorship attribution—0
The Effect of Author Set Size in Authorship Attribution for Lithuanian—0
Not All Character N-grams Are Created Equal: A Study in Authorship Attribution—0
Concentric network symmetry grasps authors' styles in word adjacency networks—0
Unsupervised authorship attribution—0
Multiple Authors Detection: A Quantitative Analysis of Dream of the Red ChamberCode0
An agent-driven semantical identifier using radial basis neural networks and reinforcement learning—0
An Off-the-shelf Approach to Authorship Attribution—0
Cross-Topic Authorship Attribution: Will Out-Of-Topic Data Help?—0
Authorship Attribution through Function Word Adjacency Networks—0
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations—0
Tri-Training for Authorship Attribution with Limited Training Data—0
Authorship Attribution with Topic Models—0
Automated Attribution and Intertextual Analysis—0
A Deep Context Grammatical Model For Authorship Attribution—0
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