| Título |
Author Verification Using Syntactic N-grams |
| Tipo |
Congreso |
| Sub-tipo |
Indefinido |
| Descripción |
Notebook for PAN at CLEF 2015
|
| Resumen |
This paper describes our approach to tackle the Author Verification task at PAN 2015. Our method builds a representation of an author’s style by using the information contained in dependency trees. This information is represented as syntactic n-grams and used to conform a vector space. Using unsupervised
machine learning approach, each instance is associated to the correponding author using the Jaccard distance. In this paper, we describe the features that were used and the employed unsupervised machine learning algorithm. |
| Observaciones |
http://ceur-ws.org/Vol-1391/139-CR.pdf |
| Lugar |
Toulouse |
| País |
Francia |
| No. de páginas |
4 |
| Vol. / Cap. |
Vol-1391 |
| Inicio |
2015-09-08 |
| Fin |
2015-09-11 |
| ISBN/ISSN |
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