Authorship Verification based on Syntax Features

D 2012

Authorship Verification based on Syntax Features

RYGL, Jan, Kristýna ZEMKOVÁ a Vojtěch KOVÁŘ

Základní údaje

Originální název

Authorship Verification based on Syntax Features

Autoři

RYGL, Jan (203 Česká republika, garant, domácí), Kristýna ZEMKOVÁ (203 Česká republika, domácí) a Vojtěch KOVÁŘ (203 Česká republika, domácí)

Vydání

1st ed. Brno (Czech Republic), Proceedings of the Sixth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2012, od s. 111-119, 9 s. 2012

Nakladatel

Tribun EU

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

60200 6.2 Languages and Literature

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

paper conference page

Kód RIV

RIV/00216224:14330/12:00062288

Organizační jednotka

Fakulta informatiky

ISBN

978-80-263-0313-8

Klíčová slova česky

ověřování autorství;syntaktická analýza;SET;strojové učení

Klíčová slova anglicky

authorship verification;syntactic analysis;SET;machine learning

Příznaky

Mezinárodní význam

Změněno: 26. 5. 2021 18:06, RNDr. Jan Rygl

Anotace

V originále

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.

Návaznosti

VF20102014003, projekt VaV

Název: Analýza přirozeného jazyka v prostředí internetu (Akronym: APJI)

Investor: Ministerstvo vnitra ČR, Analýza přirozeného jazyka v prostředí internetu

Citovat

RYGL, Jan, Kristýna ZEMKOVÁ a Vojtěch KOVÁŘ. Authorship Verification based on Syntax Features. In Aleš Horák, Pavel Rychlý. Proceedings of the Sixth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2012. 1st ed. Brno (Czech Republic): Tribun EU, 2012, s. 111-119. ISBN 978-80-263-0313-8.

@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 a 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, s.~111-119. ISBN~978-80-263-0313-8.

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