title: Automatic Authorship Detection Using Textual Patterns Extracted from Integrated Syntactic Graphs.
abstract: 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.
authors: Instituto Politécnico Nacional, Centro de Investigación en Computación, Av. Juan de Dios Bátiz S/N, Mexico City 07738, Mexico. helena.adorno@gmail.com.
authors: Helena
authors: H
authors: Gómez-Adorno
authors: Instituto Politécnico Nacional, Centro de Investigación en Computación, Av. Juan de Dios Bátiz S/N, Mexico City 07738, Mexico. sidorov@cic.ipn.mx.
authors: Grigori
authors: G
authors: Sidorov
authors: Benemérita Universidad Autónoma de Puebla, Facultad de Ciencias de la Computación, Av. San Claudio y 14 Sur, Puebla 72570, Mexico. dpinto@cs.buap.mx.
authors: David
authors: D
authors: Pinto
authors: Benemérita Universidad Autónoma de Puebla, Facultad de Ciencias de la Computación, Av. San Claudio y 14 Sur, Puebla 72570, Mexico. darnes@cs.buap.mx.
authors: Darnes
authors: D
authors: Vilariño
authors: Instituto Politécnico Nacional, Centro de Investigación en Computación, Av. Juan de Dios Bátiz S/N, Mexico City 07738, Mexico.
authors: Alexander
authors: A
authors: Gelbukh
keywords: authorship attribution; authorship verification; integrated syntactic graphs; shortest paths walks; syntactic n-grams; textual patterns