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The use of orthogonal similarity relations in the prediction of authorship

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The use of orthogonal similarity relations in the prediction of authorship

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Sapkota, U.; Solorio, T.; Montes Gómez, M.; Rosso, P. (2013). The use of orthogonal similarity relations in the prediction of authorship. En Computational Linguistics and Intelligent Text Processing. Springer Verlag (Germany). 463-475. doi:10.1007/978-3-642-37256-8_38

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/39687

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Title: The use of orthogonal similarity relations in the prediction of authorship
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
Recent work on Authorship Attribution (AA) proposes the use of meta characteristics to train author models. The meta characteristics are orthogonal sets of similarity relations between the features from the different ...[+]
Copyrigths: Reserva de todos los derechos
ISBN: 978-3-642-37255-1
Source:
Computational Linguistics and Intelligent Text Processing. (issn: 0302-9743 )
DOI: 10.1007/978-3-642-37256-8_38
Publisher:
Springer Verlag (Germany)
Publisher version: http://link.springer.com/chapter/10.1007/978-3-642-37256-8_38
Series: Lecture Notes in Computer Science;7817
Project ID: info:eu-repo/grantAgreement/EC/FP7/269180
Description: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-37256-8_38
Type: Capítulo de libro

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