Authorship Verification based on Syntax Features

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00062288" target="_blank" >RIV/00216224:14330/12:00062288 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Authorship Verification based on Syntax Features
Original language description
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 wepresent 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.
Czech name
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Czech description
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Project
<a href="/en/project/VF20102014003" target="_blank" >VF20102014003: Natural Language Analysis in the Internet Environment</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the Sixth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2012
ISBN
9788026303138
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
111-119
Publisher name
Tribun EU
Place of publication
Brno (Czech Republic)
Event location
Karlova Studánka, Czech Republic
Event date
Dec 7, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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