Sari, Y., Vlachos, A. and Stevenson, R.M. orcid.org/0000-0002-9483-6006 (2017) Continuous N-gram Representations for Authorship Attribution. In: Lapata, M., Blunsom, P. and Koller, A., (eds.) Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics. European Chapter of the Association for Computational Linguistics (EACL 2017), 03-07 Apr 2017, Valencia, Spain. ACL ISBN 978-1-945626-35-7
Abstract
This paper presents work on using continuous representations for authorship attribution. In contrast to previous work, which uses discrete feature representations, our model learns continuous representations for n-gram features via a neural network jointly with the classification layer. Experimental results demonstrate that the proposed model outperforms the state-of-the-art on two datasets, while producing comparable results on the remaining two.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2017 ACL. Article licensed on a Creative Commons Attribution 4.0 License |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 23 Feb 2017 16:12 |
Last Modified: | 19 Dec 2022 13:35 |
Published Version: | https://www.aclweb.org/anthology/papers/E/E17/E17-... |
Status: | Published |
Publisher: | ACL |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:112664 |