Add to ORKGAbstract. In this paper we present the results obtained by an approach submi-tted 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
Abstract. The author identification task at PAN-2014 focuses on author verification. Similar to PAN-...
Abstract. This paper describes our participation in the 9th PAN eval-uation lab in the author profil...
Abstract In this article we present a semantic-based approach concerning the identification of parti...
Abstract. The proposed solution for authorship attribution combines a couple of the most important f...
In this paper we describe our k-Nearest Neighbor (k-NN) based Authorship Verification method for the...
Authorship attribution is a problem in information retrieval and computational linguistics that invo...
Abstract This paper describes the participation of the PISIS team in the author-ship identification ...
Abstract This paper describes an approach for the author profiling task of the PAN 2013 challenge. T...
Authorship attribution is a problem in information retrieval and computational linguistics that invo...
We apply the integrated syntactic graph feature extraction methodology to the task of automatic auth...
This paper presents a methodology for tackling the authorship verification problem. The approach is ...
Abstract. The author identification task at PAN-2013 focuses on author verification where given a se...
Abstract. This paper describes two methodologies applied to the au-thor profiling task submitted to ...
ship identification task by using correlation of frequent significant features found in documents wr...
Abstract. This paper briefly describes the approach taken to the Author Profiling task at PAN 13. It...
Abstract. The author identification task at PAN-2014 focuses on author verification. Similar to PAN-...
Abstract. This paper describes our participation in the 9th PAN eval-uation lab in the author profil...
Abstract In this article we present a semantic-based approach concerning the identification of parti...
Abstract. The proposed solution for authorship attribution combines a couple of the most important f...
In this paper we describe our k-Nearest Neighbor (k-NN) based Authorship Verification method for the...
Authorship attribution is a problem in information retrieval and computational linguistics that invo...
Abstract This paper describes the participation of the PISIS team in the author-ship identification ...
Abstract This paper describes an approach for the author profiling task of the PAN 2013 challenge. T...
Authorship attribution is a problem in information retrieval and computational linguistics that invo...
We apply the integrated syntactic graph feature extraction methodology to the task of automatic auth...
This paper presents a methodology for tackling the authorship verification problem. The approach is ...
Abstract. The author identification task at PAN-2013 focuses on author verification where given a se...
Abstract. This paper describes two methodologies applied to the au-thor profiling task submitted to ...
ship identification task by using correlation of frequent significant features found in documents wr...
Abstract. This paper briefly describes the approach taken to the Author Profiling task at PAN 13. It...
Abstract. The author identification task at PAN-2014 focuses on author verification. Similar to PAN-...
Abstract. This paper describes our participation in the 9th PAN eval-uation lab in the author profil...
Abstract In this article we present a semantic-based approach concerning the identification of parti...