Name
Title | ||
|---|---|---|
Lexical-Syntactic and Graph-Based Features for Authorship Verification Notebook for PAN at CLEF 2013. |
Abstract | ||
|---|---|---|
In this paper we present the results obtained by an approach submitted to the author identification task of PAN 2013 which uses lexical, syntactic and graph-based features for constructing a representation model of document authors. In particular, the features extracted from the graph representation were obtained by means of the SubDue mining tool. As a classification model we have employed Support Vector Machines (SVM). The overall results have ranked our approach in the fifth place from around 17 teams. |
Year | Venue | Field |
|---|---|---|
2013 | CLEF (Working Notes) | Graph,Ranking,Information retrieval,Computer science,Support vector machine,Authorship verification,Syntax,Clef,Graph (abstract data type) |
DocType | Citations | PageRank |
Conference | 4 | 0.44 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Darnes Vilariño Ayala | 1 | 21 | 10.84 |
| David Pinto | 2 | 280 | 35.77 |
| Helena Gómez-Adorno | 3 | 40 | 16.01 |
| Saul León | 4 | 32 | 7.70 |
| Esteban Castillo | 5 | 19 | 6.58 |