Autores
Gómez Adorno Helena Montserrat
Sidorov Grigori
Pinto Avendaño David Eduardo
Gelbukh Alexander
Título Automatic Authorship Detection using Textual Patterns Extracted from Integrated Syntactic Graphs
Tipo Revista
Sub-tipo JCR
Descripción Sensors
Resumen We apply the integrated syntactic graph feature extraction methodology to the task of automatic authorship detection. This graph-based representation allows integrating different levels of language description into a single structure. We extract textual patterns based on features obtained from shortest path walks over integrated syntactic graphs and apply them to determine the authors of documents. On average, our method outperforms the state of the art approaches and gives consistently high results across different corpora, unlike existing methods. Our results show that our textual patterns are useful for the task of authorship attribution.
Observaciones DOI 10.3390/s16091374
Lugar Basel
País Suiza
No. de páginas Article number 1374
Vol. / Cap. v. 16 no. 9
Inicio 2016-09-01
Fin
ISBN/ISSN