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@inproceedings{1077977, author = {Rygl, Jan and Zemková, Kristýna and Kovář, Vojtěch}, address = {Brno (Czech Republic)}, booktitle = {Proceedings of the Sixth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2012}, edition = {1st ed.}, editor = {Aleš Horák, Pavel Rychlý}, keywords = {authorship verification;syntactic analysis;SET;machine learning}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Brno (Czech Republic)}, isbn = {978-80-263-0313-8}, pages = {111-119}, publisher = {Tribun EU}, title = {Authorship Verification based on Syntax Features}, url = {https://nlp.fi.muni.cz/raslan/2012/paper06.pdf}, year = {2012} }
TY - JOUR ID - 1077977 AU - Rygl, Jan - Zemková, Kristýna - Kovář, Vojtěch PY - 2012 TI - Authorship Verification based on Syntax Features PB - Tribun EU CY - Brno (Czech Republic) SN - 9788026303138 KW - authorship verification;syntactic analysis;SET;machine learning UR - https://nlp.fi.muni.cz/raslan/2012/paper06.pdf N2 - Authorship verification is wildly discussed topic at these days. In the authorship verification problem, we are given examples of the writing of an author and are asked to determine if given texts were or were not written by this author. In this paper we present an algorithm using syntactic analysis system SET for verifying authorship of the documents. We propose three variants of two-class machine learning approach to authorship verification. Syntactic features are used as attributes in suggested algorithms and their performance is compared to established word-lenth distribution features. Results indicate that syntactic features provide enough information to improve accuracy of authorship verification algorithms. ER -
RYGL, Jan, Kristýna ZEMKOVÁ and Vojtěch KOVÁŘ. Authorship Verification based on Syntax Features. In Aleš Horák, Pavel Rychlý. \textit{Proceedings of the Sixth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2012}. 1st ed. Brno (Czech Republic): Tribun EU, 2012, p.~111-119. ISBN~978-80-263-0313-8.
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