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The prerequisite of many approaches to authorship analysis is a representation of writing style.
Unsupervised Text Style Transfer via Iterative Matching and Translation
Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, and Enrico Santus. 2019 · 1901
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Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
Ning Dai, Jianze Liang, Xipeng Qiu, and Xuanjing Huang. 2019 · 1905
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Dropout: A simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014 · 1958
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A standard corpus of edited present-day american english
W. Nelson Francis. 1965 · 1965
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Authorship verification as a one-class classification problem
Moshe Koppel and Jonathan Schler. 2004 · 2004
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Authorship attribution with thousands of candidate authors
Moshe Koppel, Jonathan Schler, Shlomo Argamon, and Eran Messeri. 2006 · 2006
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Quantitative Authorship Attribution: An Evaluation of Techniques
J. Grieve. 2007 · 2007
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Investigating Topic Influence in Authorship Attribution
George K. Mikros. 2007 · 2007
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A survey of modern authorship attribution methods
Efstathios Stamatatos. 2009 · 2009
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Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot and Yoshua Bengio. 2010 · 2010
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Understanding dropout
Pierre Baldi and Peter J Sadowski. 2013 · 2013
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On the Robustness of Authorship Attribution Based on Character N-Gram Features
Efstathios Stamatatos. 2013 · 2013
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Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba. 2014 · 2014
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
K. He, X. Zhang, S. Ren, and J. Sun. 2015 · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy. 2015 · 2015
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Image style transfer using convolutional neural networks
L. A. Gatys, A. S. Ecker, and M. Bethge. 2016 · 2016
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Deep Learning
Ian Goodfellow, Yoshua Bengio, and Aaron Courville. 2016 · 2016
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Stylistic Transfer in Natural Language Generation Systems Using Recurrent Neural Networks
Jad Kabbara and Jackie Chi Kit Cheung. 2016 · 2016
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Blogs, Twitter Feeds, and Reddit Comments: Cross-domain Authorship Attribution
Rebekah Overdorf and Rachel Greenstadt. 2016 · 2016
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Author Obfuscation: Attacking the State of the Art in Authorship Verification
Martin Potthast, Matthias Hagen, and Benno Stein. 2016 · 2016
Adversarial Removal of Demographic Attributes from Text Data
Yanai Elazar and Yoav Goldberg. 2018 · 2018
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Style Obfuscation by Invariance
Chris Emmery, Enrique Manjavacas Arevalo, and Grzegorz Chrupała. 2018 · 2018
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Style transfer in text: Exploration and evaluation
Zhenxin Fu, Xiaoye Tan, Nanyun Peng, Dongyan Zhao, and Rui Yan. 2018 · 2018
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Overview of the author identification task at PAN-2018: Cross-domain authorship attribution and style change detection
Mike Kestemont, Michael Tschuggnall, Efstathios Stamatatos, Walter Daelemans, Günther Specht, Benno Stein, and Martin Potthast. 2018 · 2018
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Style transfer through back-translation
Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, and Alan W. Black. 2018 · 2018
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Masking topic-related information to enhance authorship attribution
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Sebastian Ruder, Parsa Ghaffari, and John G Breslin. 2016 · 2016
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Deep stylometry and lexical & syntactic features based author attribution on plos digital repository
Saeed-Ul Hassan, Mubashir Imran, Tehreem Iftikhar, Iqra Safder, and Mudassir Shabbir. 2017 · 2017
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Toward controlled generation of text
Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, and Eric P. Xing. 2017 · 2017
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Shakespearizing modern language using copy-enriched sequence to sequence models
Harsh Jhamtani, Varun Gangal, Eduard Hovy, and Eric Nyberg. 2017 · 2017
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Surveying stylometry techniques and applications
Tempestt Neal, Kalaivani Sundararajan, Aneez Fatima, Yiming Yan, Yingfei Xiang, and Damon Woodard. 2017 · 2017
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Style transfer from non-parallel text by cross-alignment
Tianxiao Shen, Tao Lei, Regina Barzilay, and Tommi Jaakkola. 2017 · 2017
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Efstathios Stamatatos. 2018 · 2018
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Bleaching Text: Abstract Features for Cross-lingual Gender Prediction
Rob van der Goot, Nikola Ljubešić, Ian Matroos, Malvina Nissim, and Barbara Plank. 2018 · 2018
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Mitigating unwanted biases with adversarial learning
Brian Hu Zhang, Blake Lemoine, and Margaret Mitchell. 2018a · 2018
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Bias Analysis and Mitigation in the Evaluation of Authorship Verification
Janek Bevendorff, Benno Stein, Matthias Hagen, and Martin Potthast. 2019 · 2019
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Learning stylometric representations for authorship analysis
S. H. H. Ding, B. C. M. Fung, F. Iqbal, and W. K. Cheung. 2019 · 2019
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Balanced datasets are not enough: Estimating and mitigating gender bias in deep image representations
Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, and Vicente Ordonez. 2019 · 2019
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Cross-language authorship attribution
Dasha Bogdanova and Angeliki Lazaridou. 2014 · 2020
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Low-resource text classification using domain-adversarial learning
Daniel Grießhaber, Ngoc Thang Vu, and Johannes Maucher. 2020 · 2020
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Domain-adversarial training of neural networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, and Victor Lempitsky. 2016 · 2030
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