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        <title>Authorship Attribution with Convolutional Neural Networks and POS-Eliding</title>
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            <title>Proceedings of the Workshop on Stylistic Variation</title>
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            <namePart type="given">Julian</namePart>
            <namePart type="family">Brooke</namePart>
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    <abstract>We use a convolutional neural network to perform authorship identification on a very homogeneous dataset of scientific publications. In order to investigate the effect of domain biases, we obscure words below a certain frequency threshold, retaining only their POS-tags. This procedure improves test performance due to better generalization on unseen data. Using our method, we are able to predict the authors of scientific publications in the same discipline at levels well above chance.</abstract>
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%0 Conference Proceedings
%T Authorship Attribution with Convolutional Neural Networks and POS-Eliding
%A Hitschler, Julian
%A van den Berg, Esther
%A Rehbein, Ines
%Y Brooke, Julian
%Y Solorio, Thamar
%Y Koppel, Moshe
%S Proceedings of the Workshop on Stylistic Variation
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F hitschler-etal-2017-authorship
%X We use a convolutional neural network to perform authorship identification on a very homogeneous dataset of scientific publications. In order to investigate the effect of domain biases, we obscure words below a certain frequency threshold, retaining only their POS-tags. This procedure improves test performance due to better generalization on unseen data. Using our method, we are able to predict the authors of scientific publications in the same discipline at levels well above chance.
%R 10.18653/v1/W17-4907
%U https://aclanthology.org/W17-4907
%U https://doi.org/10.18653/v1/W17-4907
%P 53-58

Markdown (Informal)

[Authorship Attribution with Convolutional Neural Networks and POS-Eliding](https://aclanthology.org/W17-4907) (Hitschler et al., Style-Var 2017)

• Authorship Attribution with Convolutional Neural Networks and POS-Eliding (Hitschler et al., Style-Var 2017)

ACL

• Julian Hitschler, Esther van den Berg, and Ines Rehbein. 2017. Authorship Attribution with Convolutional Neural Networks and POS-Eliding. In Proceedings of the Workshop on Stylistic Variation, pages 53–58, Copenhagen, Denmark. Association for Computational Linguistics.